Coder Legion - Recent posts tagged careergrowth

Interconnected Growth: A Community Begins with Each of Us

Fri, 16 Oct 2026 19:17:32 +0000

There is a quiet vulnerability in sharing our work. Whether we publish an article, offer an idea, or describe something we have created, we put a small part of ourselves in front of others. Behind that contribution may be hours of effort, years of experience, or the courage to be visible for the first time.

Naturally, we hope someone will respond. A thoughtful comment, a reaction, or a simple acknowledgment can reassure us that our contribution has reached another person.

Within a growing community, however, that hope carries a shared responsibility. If we all publish and then wait for others to begin the conversation, even a website filled with valuable contributions can feel remarkably quiet.

Participation Makes Belonging Possible

A developing platform needs more than a steady flow of new content. It needs people who take an interest in what others bring to it.

It is understandable to focus on our own work. Time is limited, responsibilities compete for our attention, and many of us are trying to build something meaningful alongside other commitments. Still, when we hope for engagement, it is worth considering whether we are making room to offer it ourselves.

Reading another person’s article, acknowledging a useful observation, or asking a sincere question helps establish the culture we would like to experience. These small actions make participation feel worthwhile, particularly for people who are still finding their confidence.

For someone wondering whether their work belongs, a few considerate words may carry more weight than we realize.

Mutual Support Without Keeping Score

Supporting one another should never become an obligation to exchange praise. A reaction does not create a debt, and leaving a comment should not come with an expectation of repayment.

The value lies in sincere attention.

We can recognize effort without agreeing with every conclusion. We can offer a different perspective respectfully, share an experience that adds to the discussion, or explain what we found useful. Meaningful engagement gives someone evidence that their contribution has been considered.

Over time, that attention builds familiarity and trust. People become more comfortable sharing unfinished ideas, asking questions, and offering their own knowledge. The community gains depth because its members feel there is someone on the other side of the conversation.

Our Growth Is Connected

On a website that is still developing its community, each interaction helps shape what the platform becomes.

When we respond thoughtfully to someone’s work, we give them a reason to return and contribute again. Their continued participation may help another person learn, connect, or feel encouraged. What begins as a small gesture can gradually strengthen the experience for everyone.

No individual can create an active community alone, and nobody should feel responsible for responding to everything. But we can each contribute to an environment where attention moves in more than one direction.

Before leaving after our next post, perhaps we can spend a little time with someone else’s. Read beyond the headline. Acknowledge an idea that deserves consideration. Leave the kind of thoughtful response we would appreciate receiving.

Every contribution represents a person hoping to be heard. A growing community becomes stronger when we make space to hear one another.

Understanding Before Implementation: My Philosophy of Engineering in the AI Era

Tue, 13 Oct 2026 08:02:50 +0000

Today, an AI assistant can generate a working API endpoint, write a complex SQL query, or configure a multi-stage CI/CD pipeline in seconds. When code generation is nearly frictionless, it is easy to mistake generating an implementation for understanding a system.

AI coding assistants excel at boilerplate, syntax, API orchestration, and fast prototyping. But syntax was never the hardest part of software engineering. The harder part has always been framing the real problem, understanding how components interact, identifying constraints, evaluating trade-offs, and knowing how to verify that a system actually does what it is supposed to do.

Now that AI can execute code generation on command, conceptual understanding is not less important—it is the very foundation that allows us to command AI effectively.

The Difference Between Framework Proficiency and System Understanding

When picking up a new technology, there are two distinct ways to approach learning:

Learning to reproduce an implementation: Memorizing specific APIs, following step-by-step tutorials, or asking AI to generate code for a framework without understanding its underlying mechanics.
Learning to build a mental model: Understanding what problem the technology was created to solve, why its abstractions exist, where it fits into a larger architecture, and what trade-offs it introduces.

Frameworks and SDKs teach us how to interact with specific abstractions. Conceptual understanding helps us decide which abstractions we need, whether they are appropriate, and when a different approach is necessary.

This does not mean hands-on experimentation is secondary. Theory without practice can lead to rigid, over-engineered designs that fail in production. Rather, conceptual reasoning and hands-on implementation should reinforce each other in a continuous loop:

+-------------------------------------------------------------+
|                                                             |
|   1. Build a Mental Model ---> 2. Define Architecture      |
|              ^                             |                |
|              |                             v                |
|   4. Refine Architecture <--- 3. Implement & Test           |
|                               (via AI, SDKs, Experiments)   |
|                                                             |
+-------------------------------------------------------------+

When you understand the underlying mechanics, you learn a framework with clear intent rather than copying code blindly.

From DevOps to Agentic FinOps: A Personal Journey

I experienced the power of this philosophy firsthand when I transitioned into the world of AI agents.

My professional background was firmly rooted in DevOps—managing cloud infrastructure, automated pipelines, and operational reliability. I had minimal formal experience with AI or agentic frameworks when an opportunity arose to design an agentic solution for a complex DevOps problem: cloud financial operations (FinOps).

Faced with an unfamiliar domain, I had two choices:

Approach A: Spend weeks memorizing popular agentic framework APIs, copying example agent scripts, and trying to force-fit my problem into pre-built templates.
Approach B: Step back and build a mental model of agentic systems first. What makes an agentic system different from a script or a deterministic workflow? What components are required—reasoning, memory, tool access, state management? How should data and decisions flow?

I chose Approach B.

Before diving deep into specific agent frameworks or SDKs, I focused on understanding the system boundaries and architectural capabilities required for an Agentic FinOps solution:

What exact operational problem were we solving in cloud cost governance?
Which tasks required autonomous decision-making versus deterministic automation?
How would an agent reason about cloud resource data, evaluate policies, and execute actions?
What state and context would need to persist across executions?
Where were the potential security, cost, and reliability failure modes?

+-----------------------------------------------------------------+
|                   Agentic FinOps Conceptual Model              |
+-----------------------------------------------------------------+
|                                                                 |
|  [ Data Sources ]       [ Reasoning Engine ]    [ Action Layer ]|
|  - Cloud Metrics  --->   - Policy Rules    ---> - Remediation   |
|  - Usage Data           - Context/Memory        - Alerts        |
|                                                                 |
+-----------------------------------------------------------------+

By first mapping out the system's core requirements, I could evaluate frameworks objectively. Instead of letting a framework dictate what my system should look like, I used frameworks and SDKs—along with AI assistants—to implement specific, well-defined components of the architecture I had designed.

I began building and testing core components individually to validate feasibility. Did I have every answer upfront? No. Was every part of the system immediately production-ready? No. The architecture continues to evolve as I learn more. But starting with conceptual clarity allowed me to make meaningful progress in an unfamiliar domain without getting lost in implementation details.

Engineering in the AI Era: Taking the Lead

AI tools have transformed how quickly we can move from an idea to a working prototype. But generated code is not inherently secure, performant, cost-effective, or architecturally sound.

To "take the lead to command AI" does not mean typing every line of code manually. It means taking responsibility for:

Problem Definition: Articulating clear, context-rich goals and constraints.
System Architecture: Deciding how components decouple, communicate, and fail.
Critique and Evaluation: Interrogating AI-generated code for security flaws, edge cases, and hidden performance costs.
Validation: Designing small experiments to verify that a proposed solution works under real conditions.

If you don't understand what you are asking AI to build, you cannot effectively evaluate what it returns.

A Transferable Framework for Learning New Technologies

Whether you are exploring agentic AI, Kubernetes, distributed databases, or service meshes, this iterative approach can guide your learning:

Define the Problem: Understand what pain point the technology addresses before choosing tools.
Build a Mental Model: Map out the core concepts, data flows, and state management mechanisms.
Identify Component Responsibilities: Determine what each part of the system does and why it exists.
Evaluate Trade-offs: Analyze cost, latency, security, and operational complexity across different options.
Accelerate with AI and Frameworks: Use AI tools, documentation, and SDKs to rapidly write and prototype code.
Test Core Assumptions: Run small, targeted experiments to validate critical capabilities.
Inspect and Verify: Audit generated code—do not assume "working code" is correct code.
Refine Iteratively: Adjust your architecture as practical findings reveal gaps in your mental model.

Why I Write Technical Content This Way

This philosophy directly shapes how I write technical articles. My goal is not to publish syntax cheat sheets or step-by-step code tutorials that become outdated with the next SDK release.

Instead, I aim to help readers understand why systems are built the way they are—their underlying components, decision points, and trade-offs. Once you grasp the foundational architecture, applying any specific SDK, API, or AI tool becomes straightforward.

Final Thoughts

The ability to generate code quickly is more accessible than ever. But true engineering value lies in judgment, critical thinking, and system architecture.

Before diving straight into implementation or asking AI to generate a solution, take time to understand the problem, the system, and the trade-offs. Use AI and modern frameworks to build faster, but keep your hands on the architectural wheel.

What Your Laptop Is Doing When You're Not Looking

Mon, 12 Oct 2026 16:20:03 +0000

We're in Week 4 of my Linux series, and this week I want to start with a question: have you ever had your laptop fan suddenly start screaming while you were doing absolutely nothing?
I have. Many times 😂 And before this week, I'd just stare at it, close a few tabs and hope for the best. This week, some few chapters i revisited gave me the tools to actually ask the machine what it was doing. Come with me, because the story gets interesting.

First, I Taught the Computer to Do My Chores

Chapter 11 was shell scripting. Think about how much of our day is repetitive: backing up files, renaming things, running the same checks again and again. A script lets you write those steps once and never think about them again. That's basically what every app on your phone does for you, just on a smaller scale.
I went through variables, user input, arguments, exit codes, conditionals and loops. The routine is always the same:

nano myscript.sh      # write the script
chmod +x myscript.sh  # make it executable
./myscript.sh         # run it

Tip: Watch the exit code. A 0 means "all good". Anything else means something went wrong. Automation that fails silently is how small problems become big ones, and in security, silent failures are exactly what attackers hope for.
Then I Asked My Machine to Introduce Itself
Chapter 12 was hardware: CPU, RAM, motherboard, storage and drivers. We buy laptops by specs, but how often do we check what is really inside? Linux will tell you straight, no sales pitch:

lscpu     # displays CPU information
free -m   # shows memory usage in megabytes
lspci     # lists PCI devices
lsusb     # lists USB devices

Tip: Plugged something in and it's not working? Run lsusb before blaming the cable. If the system can't even see the device, the problem is somewhere else.
And Then It Showed Me Its Diary
This is where it got juicy 👀

Chapter 13 showed me that your computer quietly writes down almost everything it does. Every process, every error, every strange event. It's like a diary, and Linux lets you read it.
These are the places to look:

/proc      # information about processes and the kernel
/dev       # files that represent devices
/sys       # information about devices and the kernel
/var/log   # where most system logs live

And these are the commands that read it for you:

ps aux        # view running processes
top           # monitor system activity live
dmesg         # kernel messages
journalctl    # investigate system logs

So that screaming fan? top would have shown me exactly which process was eating my CPU. Mystery solved in ten seconds, no panic needed.

In a world where we hear about data breaches almost every week, knowing how to read your own system's logs is a real superpower. Most people only look at logs after something has gone wrong. The better habit is to look before.

Finally, I Followed the Trail Out to the Internet

Chapter 14 was networking, and it connects to everything. Every video call, every online payment, every message you send travels through the same ideas: IP addresses (IPv4 and IPv6), DNS, DHCP, routers and servers.

ip addr show    # displays network interfaces and IP addresses
ping            # tests network connectivity
host / dig      # investigate DNS information
ssh             # secure remote access to another system

I also revisited two small files that do big work: /etc/hosts (local name-to-address mappings) and /etc/resolv.conf (which DNS servers your system uses).

Tip: Next time the internet "isn't working", don't just restart the router and pray. Go in order: ip addr show to check your address, ping to test the connection, dig to check DNS. You'll find the real problem much faster, and you'll look very smart doing it

The Honest Part
top and journalctl looked like a wall of text the first time I opened them 😭 My brain just froze. What worked was slowing down and reading one line at a time, instead of trying to understand everything at once. It's a good lesson for life, honestly.

What I'm Taking Away

Our lives now run on devices, apps and networks we barely think about. Linux sits underneath a huge part of that, from servers to phones to the cloud. This week reminded me that when you understand what your system is doing, you stop being a passenger and start being the driver. And in cybersecurity, that's the whole game.

A little progress at a time still counts. 💜

Now tell me: what's the strangest thing your computer has ever done that made you say "what is going on?" Drop it in the comments, I'd love to hear the stories 👇

The Duchess of Hackers
Full-Stack Developer | Digital Marketer | Cybersecurity Enthusiast

A Student's Guide to Microsoft for Startups

Fri, 25 Sep 2026 17:45:12 +0000

As a student, it is easier than ever to build something real. A side project can become a startup. A hackathon idea can become an MVP. A class project can turn into a product with paying users.

The difficult part is not always coming up with the idea. It is finding the infrastructure, tools, guidance, and resources needed to build and grow it.

That is why I think student founders should at least be aware of Microsoft for Startups. It is a program designed to help startups build, scale, and bring solutions to market with access to Microsoft technologies, startup-focused resources, and business support opportunities.

Primary resource: https://microsoft.com/startups?wt.mc_id=studentamb_496381

Supporting resource: https://learn.microsoft.com/startups?wt.mc_id=studentamb_496381

What is Microsoft for Startups?

From a student perspective, I would describe Microsoft for Startups as a program intended to help founders move from an idea or early product toward a more scalable and business-ready solution.

According to Microsoft, the program focuses on helping startups overcome common challenges through access to technology, AI services, technical guidance, startup credits, and resources that support building, scaling, and selling solutions.

The important thing to understand is that this is not simply a free cloud account.

The broader goal is to help startups:

Build products faster
Scale infrastructure more efficiently
Learn from technical resources
Explore AI capabilities
Improve enterprise readiness
Develop go-to-market strategies and customer reach opportunities

If you are a student founder, it helps to think of the program as a potential ecosystem rather than a single benefit.

What Type of Startup Is It Designed For?

Many students hear the word "startup" and immediately think of large funded companies.

In reality, Microsoft for Startups is meant for organizations that are actively developing innovative products and working toward growth. The program is intended to support startups at different stages as they build and mature their solutions.

A few examples include:

A student team building a SaaS product
An AI-powered application created after a hackathon
A marketplace platform solving a local problem
A developer tool for software teams
A data analytics solution
A healthcare, education, fintech, or productivity startup

However, it is important not to assume that every project automatically qualifies.

Eligibility, benefits, available resources, and participation depend on program requirements, startup verification, progress, and Microsoft program terms.

That distinction matters because many online discussions oversimplify startup programs and create unrealistic expectations.

What Founders May Get Access To

One of the most attractive parts of Microsoft for Startups is the combination of technical and business-oriented benefits.

Microsoft highlights areas such as:

Startup credits for eligible Azure services
AI services and tools
Technical resources
Documentation and guidance
Support for building and scaling products
Go-to-market opportunities and customer reach concepts

Notice the wording: may get access to.

Microsoft's public information notes benefits such as startup credits and other resources, but these can vary based on eligibility and program conditions. Microsoft mentions benefits of up to certain credit amounts, not guaranteed allocations for every startup.

As a student founder, I would approach the program with the mindset of exploring opportunities rather than expecting a specific package of benefits.

Azure: Why It Matters for Student Founders

If I were building an MVP today, one of the first challenges would be infrastructure.

Questions start appearing quickly:

Where will the application run?
Where will the database live?
How do I store files?
What happens if traffic grows?
How do I manage security and reliability?

This is where Azure becomes relevant.

Microsoft for Startups commonly connects founders with Azure resources and guidance that can help them move from prototype to production-grade architectures. Microsoft Learn also provides startup-focused content around building, deploying, operating, and scaling on Azure.

Common areas startups may explore include:

Web app hosting
APIs and backend services
Databases
Storage solutions
Containers and Kubernetes
Identity and security services
Monitoring and observability tools
Data platforms and analytics services

For a student team, using cloud infrastructure early can teach valuable engineering practices that become increasingly important as projects grow.

AI Capabilities and Opportunities

One reason Microsoft for Startups receives significant attention today is its AI focus.

Microsoft specifically highlights access to AI services, industry-leading AI tools, and resources that help founders create intelligent applications.

For students experimenting with AI, this could mean exploring scenarios such as:

AI chat assistants
Knowledge retrieval systems
Document analysis
Recommendation engines
Automated workflows
Customer support experiences
Content processing pipelines
AI agents

Microsoft Learn also provides startup-focused AI guidance covering architectures, production-ready AI approaches, and agent development concepts.

The biggest lesson for student founders is that AI alone is not a business.

A better approach is to identify a real problem first and then determine whether AI genuinely improves the solution.

The startups that benefit most from AI programs are usually solving meaningful customer problems rather than adding AI only because it is trendy.

Technical Support and Learning Resources

One aspect that students often underestimate is the value of learning resources.

Cloud credits eventually get used.

Knowledge continues creating value.

The Microsoft Learn Startups Hub contains technical guidance, architecture resources, troubleshooting information, startup best practices, enterprise readiness content, and AI-focused learning materials.

For students, this can be extremely useful because many founders are learning multiple skills simultaneously:

Software engineering
Cloud architecture
Security
DevOps
AI implementation
Product development

Having structured learning resources can reduce trial-and-error and help teams avoid common mistakes.

In many cases, the guidance itself may be just as valuable as any technical benefit.

Marketplace and Go-to-Market Concepts

A common student founder mistake is focusing 100% on building and 0% on distribution.

A product nobody discovers is still a failed product.

Microsoft emphasizes go-to-market resources, customer reach opportunities, marketplace readiness guidance, and partner pathways that can help startups expand visibility and sales efforts.

At a high level, go-to-market (GTM) means:

Identifying target customers
Positioning your solution
Creating a sales strategy
Marketing effectively
Finding distribution channels
Growing adoption

Marketplace concepts are related because marketplaces can help customers discover software solutions more easily.

For a student founder, the key takeaway is simple:

Building is only half the journey.

Learning how customers discover, evaluate, and adopt products is equally important.

When This Is Worth Exploring

From my perspective as a student builder, Microsoft for Startups is worth exploring when:

You already have a working project

A prototype, MVP, or early product gives you something concrete to develop and improve.

You are actively building

Programs create the most value for founders who are shipping features, testing ideas, and seeking growth.

You need cloud infrastructure

If Azure services could support your application architecture, the program becomes more relevant.

You are experimenting with AI

Students exploring practical AI products may find useful tools, resources, and guidance.

You want to learn startup engineering practices

Enterprise readiness, scalability, security, and cloud architecture are valuable skills even if the startup itself never becomes a large company.

You are thinking beyond the hackathon

A weekend project is great.

A project that continues after the event is where startup programs become much more interesting.

When It Probably Isn't the Right Program Yet

Not every student needs a startup program immediately.

It may not be the right time if:

You only have a vague idea

Ideas are important, but execution matters more.

You have not started building

If there is no prototype or product direction yet, your time may be better spent validating the problem first.

You are learning fundamentals

Sometimes the next best step is simply improving your programming, cloud, AI, or product skills.

You expect guaranteed benefits

Startup programs generally involve eligibility requirements and program terms. Benefits can vary and should never be assumed in advance.

You are looking only for free resources

The greatest long-term value often comes from learning, building, and growing rather than from credits alone.

Final Thoughts

If I were a student founder today, I would view Microsoft for Startups as something worth investigating once I had a real product direction and a commitment to building.

What makes the program interesting is not a single benefit. It is the combination of cloud infrastructure, AI opportunities, technical learning resources, startup-focused guidance, and go-to-market support designed to help startups build, scale, and grow.

Most importantly, I would approach it with realistic expectations.

Not every startup receives the same benefits. Eligibility, verified progress, startup status, and program terms all influence what opportunities may be available.

For students turning side projects into serious products, that makes Microsoft for Startups less of a shortcut and more of a resource worth exploring as part of a larger startup journey.

Five Years of Not Giving Up — Anas Sheikh’s Journey as a Developer

Wed, 09 Sep 2026 08:52:50 +0000

Five Years of Not Giving Up — My Journey as a Developer

Five years ago, I had no idea where programming would take me.

It started with my cousin.

He had started learning programming, and one day he recommended that I give it a try too. I didn't immediately jump into it. I took some time to think about whether programming was really something I wanted to do.

A few days later, I finally decided to start.

I opened YouTube and began with HTML.

There was no expensive course, no perfect roadmap, and no shortcut.

Just me, YouTube tutorials, and a lot of curiosity.

From YouTube Tutorials to Real Projects

After HTML, I started learning CSS. I watched tutorials and then tried to build small projects myself.

I would build something, break it, try to fix it, and then build it again.

And I kept doing that.

Day after day.

I became obsessed with practicing. I couldn't stop.

After HTML and CSS, I started learning Bootstrap. That alone took me almost two months.

Then, after around six months of learning and practicing, I started JavaScript.

JavaScript was a completely different experience.

There were so many concepts I didn't understand at first. I spent countless hours watching tutorials, trying things myself, getting confused, going back to the tutorials, and trying again.

But I didn't quit.

My cousin and I eventually got an unpaid internship at a software house. He got a job there later, but I remained on the unpaid internship.

I stayed there for almost eight months.

For those eight months, I wasn't earning a salary. My father supported me with my basic daily expenses. I would usually need around 100 PKR for bike petrol and some snacks, while I brought lunch from home.

It wasn't easy.

I was trying extremely hard to get a job, but I couldn't find one.

Learning by Building

Eventually, I left the software house and continued learning and building from home.

But leaving didn't mean stopping.

It meant I had to push myself even harder.

During that period, I continued building projects and also started learning React.js.

At the software house, I had another friend who was also an unpaid intern. We spent our time learning from YouTube and building small projects together.

We built things like calculators, to-do list applications, and other small projects.

They weren't impressive products.

But they were important.

Every small project taught me something.

Every bug forced me to think.

Every time I broke something and fixed it, I understood programming a little better.

Looking back, those small projects were some of the most important projects I ever built because they taught me how to learn.

Another Opportunity

After I left, around two or three months later, my cousin also left that company and got another job.

He invited me to join him.

The role was for a React.js frontend developer.

I had learned React, but I had only been working with it for around four months.

And honestly, I wasn't confident.

This was before AI coding tools became as popular as they are today. I was scared of giving the interview because I didn't feel ready.

My cousin got the job.

I didn't.

I continued working as an unpaid intern at another company.

And this time, something different happened.

I met an amazing senior developer.

He was a very strong full-stack developer, and he taught me a lot. He trusted me with real work, explained things to me, and connected me with real company projects.

For the first time, I wasn't just building tutorial projects.

I was working on real projects for real clients.

And I loved it.

I was still unpaid, but I didn't stop.

I kept learning.

I kept working.

I kept coding.

I think that's when I realized that I genuinely loved programming.

I could do the same thing again and again — build something, break something, fix something, learn something new — and still enjoy it.

The Job I Didn't Take

Eventually, I decided to ask the company if they could give me a paid position.

My senior supported me and spoke to the manager.

The manager asked me about my salary expectations.

I said 40,000 PKR.

My cousin was earning around 80,000 PKR at that time.

Then the manager said something I will never forget:

They could give me the job, but they would have to fire my cousin.

I immediately said no.

I couldn't accept a job if getting that job meant replacing the person who had supported me from the beginning.

My cousin had been one of the reasons I started programming in the first place. He had supported me throughout the journey.

So I rejected the offer.

I told my cousin what happened, and we decided to leave the company.

Instead of continuing to look for jobs, we decided to try something completely different.

We started freelancing.

My First 60K PKR

We started getting projects through my cousin's Fiverr account.

I still remember completing our first project.

When my cousin gave me my share, it was around 60,000 PKR.

I was incredibly happy.

I remember crying.

Not because 60,000 PKR was some huge amount of money.

It was because of what that money represented.

For almost two years, I had been learning.

I had spent months doing unpaid internships.

I had spent countless hours watching tutorials.

I had built project after project.

I had tried to find a job and failed.

And then, finally, someone had paid me for the skill I had worked so hard to develop.

That 60,000 PKR was my first real earning from programming.

I will never forget that feeling.

The Next Step: Learning Next.js

After that first 60,000 PKR, something changed for me.

I didn't think, "I've made it."

Instead, I became even more motivated to improve.

I started paying more attention to what other developers were using and what technologies were becoming popular in the industry.

At that time, I started seeing more and more developers recommending Next.js, especially for building production websites and applications.

I had already spent a lot of time learning JavaScript, so I had a strong foundation.

That made it much easier for me to understand React and then move into Next.js.

I decided to learn it.

And this time, it was different.

I wasn't starting from zero anymore.

I already understood JavaScript, components, frontend development, APIs, and how web applications were structured.

So I went deep into Next.js and managed to learn the fundamentals and start building with it in roughly one month.

I started using it in real projects and continued learning through actual client work.

Today, Next.js has become one of the main technologies I work with.

Most of the modern web projects I work on are built around React and Next.js.

Don't Just Chase Frameworks

One of the biggest things I've learned is:

Don't just chase frameworks. Build strong fundamentals.

Frameworks change.

Tools change.

The way we build software changes.

But if your fundamentals are strong, learning the next technology becomes much easier.

Freelancing Became My Career

After that first project, we didn't stop.

We continued getting projects and working with real clients.

Eventually, I created my own Fiverr and Upwork accounts as well.

Over time, I had the opportunity to work with some amazing people. Some clients continued working with me again and again.

One thing that makes me especially proud is that throughout this journey, I don't remember having a client who was genuinely unhappy with my work.

Clients appreciated the work.

Some gave me tips.

Some came back with more projects.

And slowly, my skills improved with every project.

I learned not just how to code, but how to communicate with clients, understand requirements, solve real problems, manage projects, handle feedback, and deliver something that another person could actually use.

Freelancing gave me something I couldn't get from simply learning programming tutorials.

It gave me real experience.

Five Years Later

Today, it has been five years since I started this journey.

And one interesting thing about my story is that I still haven't had a traditional full-time developer job.

For a long time, I thought that was something I should be worried about.

But freelancing gave me almost everything I was looking for.

It gave me real clients.

Real projects.

Real responsibility.

And the freedom to work on different kinds of products and technologies.

I've worked with modern web technologies including React, Next.js, JavaScript, TypeScript, Tailwind CSS, databases, APIs, CMS platforms, cloud services, and many other tools.

But more importantly, I've learned how to learn.

And I think that is one of the most valuable skills a developer can have.

Building for Real Problems

Over time, I've also become increasingly interested in building products that solve real problems rather than simply building websites.

One example is an idea around improving patient queues in Pakistani hospitals.

The goal is to reduce manual queue management, help patients understand when they may see a doctor, and make the process easier for both patients and hospital staff.

Working on problems like this reminded me why I started programming in the first place:

Not just to write code, but to solve problems.

What About AI?

Today, AI is changing the way developers work.

Some people are worried that AI will replace developers.

I don't see it that way.

AI has changed my workflow, but I see it more as a tool that helps me work faster.

Things that used to take much longer can sometimes be done much faster now.

A project that might have taken two months can sometimes be completed in a month.

But the developer still needs to understand what they are building.

You still need to understand the problem.

You still need to make decisions.

You still need to debug.

You still need to know when AI is wrong.

AI can make development faster, but I don't believe it removes the need to learn.

If anything, I think developers should focus even more on understanding fundamentals, problem-solving, communication, product thinking, and how software actually works.

Don't be afraid of AI. Learn how to use it.

The Biggest Lesson I've Learned

If there is one lesson I would share from my five-year journey, it is simple:

Be consistent. Don't stop.

There were many moments when I felt behind.

There were times when I couldn't get a job.

There were months when I worked without getting paid.

There were countless bugs I couldn't understand.

There were technologies that felt impossible when I first started learning them.

But I kept going.

I kept opening my laptop.

I kept watching tutorials.

I kept building.

I kept breaking things.

I kept fixing them.

And eventually, those small efforts started adding up.

I didn't become a developer in one day.

There wasn't one magical moment when everything suddenly made sense.

It happened slowly.

One project at a time.

One bug at a time.

One client at a time.

One lesson at a time.

Looking Back

Sometimes I think about the person who opened YouTube five years ago and started learning HTML.

He had no idea what was coming.

He didn't know about React.

He didn't know about Next.js.

He didn't know about freelancing.

He didn't know that one day he would be building real projects for clients around the world.

He definitely didn't know that his first programming income would make him cry.

But he kept going.

And I'm glad he did.

The last five years haven't always been easy.

Actually, some parts were really hard.

But they were worth it.

I'm proud of the journey — not because everything went perfectly, but because I didn't give up when things didn't go according to plan.

And I'm still learning.

I'm still building.

I'm still making mistakes.

I'm still breaking things and fixing them.

And honestly, I still love it.

If You're Just Starting

So if you're reading this and you're just starting your programming journey, don't worry if you're not good yet.

Don't worry if you don't get a job immediately.

Don't worry if everyone around you seems to be progressing faster.

Keep learning.

Keep building.

Keep practicing.

Keep showing up.

Be consistent. Don't stop.

Your journey may take longer than you expect.

Mine certainly did.

But sometimes the longest journeys are the ones that are worth the most.

Thank you for reading my story.

I hope it gives even one developer the motivation to keep going.

About Anas Sheikh

Anas Sheikh is a developer who has built his career through continuous learning, freelancing, and working on real-world projects.

His journey has taken him from learning HTML and CSS through YouTube tutorials to working with React, Next.js, TypeScript, Tailwind CSS, APIs, databases, CMS platforms, and cloud services.

More importantly, his story is about persistence — continuing to learn and build through unpaid internships, job rejections, difficult periods, and countless bugs.

View Anas Sheikh's CoderLegion Profile

Developer: Anas Sheikh
Series: CoderLegion Developer Stories
Interviewed and edited by: Mehadi Hasan, Community & Editorial Team, CoderLegion

From Frontend Freelancer to Systems Engineer: Valentine Shimanovsky’s Journey in Software Engineerin

Wed, 09 Sep 2026 07:48:02 +0000

From Frontend Freelancer to Systems Engineer: Valentine Shimanovsky’s Journey in Software Engineering

Software engineering is often presented as a journey through programming languages and frameworks.

For Valentine Shimanovsky, the journey has been much more about learning how the pieces fit together.

He started with web development and frontend work, moved into full-stack development, and gradually found himself drawn deeper into backend engineering, architecture, testing, domain modeling, and the wider software development lifecycle.

Over time, his focus shifted from simply building individual features to understanding how entire systems should be designed, tested, and evolved.

This is the story of that journey.

Starting With Web Development

Valentine says he has always felt that programming, development, and software engineering were what he wanted to do.

About a decade ago, he started learning web development.

After roughly a year, he began working professionally as a freelancer, initially making frontends for different projects.

But it didn't take long before he wanted more.

"Within a couple of years, I felt I was hungry for more. I have always been hungry for more."

That curiosity pushed him beyond frontend development and toward full-stack work.

He began working on smaller projects where he was responsible for most of the application himself. As those projects became larger and more structured, his work gradually shifted toward the backend.

APIs.

Data models.

Persistence.

Integrations.

Testing.

Deployment.

The work was becoming less about individual screens and more about how the entire application worked.

The Search for Reliable Engineering

As Valentine progressed, he encountered what many developers experience: an overwhelming amount of information.

There were countless tools, techniques, books, courses, and opinions about how software should be built.

Rather than simply collecting knowledge, Valentine focused on finding tools and practices that could make his development more reliable.

One of the first major turning points was Test-Driven Development (TDD).

He started experimenting with TDD after around two years of professional experience.

It didn't immediately click.

He spent considerable time studying the subject, including reading and rereading several seminal books on TDD and refactoring and taking courses until the ideas finally became clear.

That experience became an important part of his engineering foundation.

When Object-Oriented Programming Didn't Come Naturally

Another fundamental area proved more difficult.

Object-oriented programming didn't come naturally to Valentine, despite his efforts to understand it.

Instead of giving up, he went deeper.

He began studying books on Object-Oriented Analysis and Design (OOAD) and eventually discovered Domain-Driven Design (DDD).

DDD became an important part of his engineering journey.

It helped him think beyond individual pieces of code and focus more deeply on the domain and the problems the software was actually trying to solve.

From Features to the Whole System

As his experience grew, individual features became less interesting to Valentine than understanding how the entire system worked.

He wanted to understand the bigger picture.

That naturally led him toward taking ownership of the broader software development lifecycle.

His approach became increasingly structured:

Start with the business requirements.
Decide how the domain should be modeled.
Move toward system modeling using C4 and UML.
Use API-first design.
Apply Domain-Driven Design.
Use Test-Driven Development.
Build, test, deploy, and maintain the product.

For Valentine, these aren't isolated techniques.

They work together as a foundation for building robust products that are easier to change.

He describes this combination as having helped him build products with nearly zero production errors from the first attempt while keeping them easy to evolve.

Engineering Is More Than a Toolbox

One of the most interesting parts of Valentine's journey is that, despite developing a large engineering toolbox, he doesn't see individual tools as the final destination.

He is still interested in individual engineering practices.

But increasingly, his focus is on how those practices work together when building an entire system.

Knowing TDD is valuable.

Knowing DDD is valuable.

Understanding API design, system modeling, architecture, testing, and deployment is valuable.

But the deeper engineering challenge is understanding how all of these pieces interact.

That is where Valentine's journey has taken him.

From Writing Code to Understanding Complexity

Valentine's progression can almost be viewed as a series of increasingly larger questions.

First:

How do I build this interface?

Then:

How do I build the entire application?

Then:

How should the backend, data, APIs, and integrations work together?

And eventually:

How does the entire system work, and what makes it complex in the first place?

That last question increasingly shapes how Valentine approaches software engineering today.

The individual engineering tools still matter.

But understanding how they work together matters even more.

The Value of a Structured Engineering Approach

Valentine's journey also highlights an important lesson for developers who are trying to improve their engineering skills.

Learning another framework or programming language can certainly expand your toolbox.

But becoming a stronger engineer also means learning how to reason about:

business requirements
domain models
system architecture
APIs
testing
persistence
integrations
deployment
maintainability
and the relationship between all of these areas

The goal isn't simply to write code that works.

It's to build systems that are reliable, understandable, and easy to change.

What Valentine's Journey Shows

Valentine's story is a reminder that becoming a stronger software engineer isn't necessarily about collecting more technologies.

His journey started with frontend development.

Then came full-stack development.

Then backend engineering.

Then deeper exploration of testing and refactoring.

Then object-oriented design and Domain-Driven Design.

Then system modeling, API-first design, and ownership of the broader software development lifecycle.

Each stage came from wanting to understand something deeper than the previous stage.

The result is an engineering approach built around reliability, structure, domain understanding, and seeing the whole system rather than just the code immediately in front of you.

And perhaps that's the most interesting part of his journey.

The more Valentine learned about software engineering, the less he focused on individual tools—and the more interested he became in understanding the system as a whole.

About Valentine Shimanovsky

Valentine Shimanovsky is a Senior Backend / Full-Stack / Founding Engineer focused on complex business systems and software engineering.

His interests span backend development, architecture, testing, domain modeling, system design, and the broader software development lifecycle.

Valentine also writes about software engineering practices, tools, architecture, and the books that have influenced his approach to engineering.

You can explore more of his work through his Software Engineer Toolbox Granularity article and his software engineering book reviews.

View Valentine Shimanovsky's CoderLegion Profile

Featured Developer: Valentine Shimanovsky
Series: CoderLegion Developer Stories
Interviewed and edited by: Mehadi Hasan, Community & Editorial Team, CoderLegion

Eight Weeks From Classroom to Production: My Software Engineering Internship Journey

Tue, 04 Aug 2026 10:35:41 +0000

What I learned building a real talent funnel from SRS and Figma to QA, handover, and closing without a perfect ending.

Hey everyone,

If you followed my weekly Hashnode series, you already know the short version: eight weeks, one real product, a lot of shipping, and a quieter finale than I expected.

This post is the longer reflection on the whole arc in one place.

Series link: My Software Engineering Internship Journey

How it started

Week 1 did not feel like “writing production code on day one.” It felt like orientation into a different kind of seriousness.

We were not building toys. We were joining a live talent funnel product, the Talent Funnel, where candidates move through discovery, onboarding, assessments, and interviews, while admins need tools they can trust.

Before the flashy UI work, there was the quieter foundation work: requirements, diagrams, architecture conversations, and learning how classroom theory behaves once real stakeholders and real timelines enter the room.

That first week taught me something I kept rediscovering: industry work is less about knowing everything, and more about becoming useful quickly without breaking what already exists.

The middle: building for real users

Across the middle weeks, the work widened fast.

We moved through:

requirements and data architecture
monorepo structure and type-safe environments
custom auth and onboarding flows
candidate home hubs, assessment surfaces, and UI states
landing pages, hierarchy polish, and painful but necessary rework
admin portals, route hardening, and access control

Some weeks felt like invention. Others felt like correction.

Week 5 especially stuck with me: being right about a UI direction did not always protect the work from being redone. Branch overlap, merge calls, and scope cleanup taught me more than the feature itself. That was uncomfortable. It was also one of the most useful lessons of the internship.

By Weeks 6 and 7, the focus shifted again from “can we build this?” to “can this survive without scaffolding?” We migrated out of temporary paths, cleaned legacy naming, unified branding, hardened staff access, improved analytics and candidate summaries, and started thinking about handover as part of engineering, not as an afterthought.

What the work actually looked like

If I had to name the through-line of my internship, it would be consistency.

Not just visual consistency. Product consistency.

Making routes make sense. Making emails point to real places. Making settings and permissions match how staff actually work. Making responsive layouts behave on phones, not only on laptops. Making localization expose every missing string before a user does. Shipping in related batches instead of one giant pile that nobody can review.

Those details do not always look impressive in a weekly update. They are what make a product feel intentional.

How it ended

Week 8 was the finale: QA, test documentation, and project handover.

As a team, we closed the project. We did not get full client feedback before we wrapped. That is the honest part. Timelines move. Stakeholders are busy. Final reviews do not always land when you hope they will.

Even so, we know they appreciated the work. That appreciation showed up in the collaboration, the trust, and the way the product kept moving forward with us. A long written review would have been nice. Knowing the work mattered still counts.

Closing without a cinematic ending taught me something I did not expect to learn so clearly:

Finishing well is not the same as finishing loudly.

Sometimes a good ending looks like regression checks, documented test cases, known issues written down honestly, and a handover package that lets the next engineers continue without reconstructing the story from commit messages alone.

What I take with me

I leave with more than a portfolio of screens.

I leave with better instincts around:

shipping in related batches
treating documentation as part of delivery
seeing responsive UI, localization, and access control as product integrity, not polish
treating merge conflicts, CI surprises, and overlapping branches as the work itself
measuring progress not only by what I can build, but by whether someone else can continue after me

Somewhere between Week 1 and Week 8, I stopped thinking of an internship as a sequence of tasks. I started seeing it as practice in becoming leaveable, leaving systems, decisions, and context in a state where the team can keep going.

If you are starting your own internship

A few things I would tell my Week 1 self:

Ask for context early. Why a decision exists matters as much as how to implement it.
Expect rework. Being right once does not freeze the product forever.
Write things down while they are still fresh. Future you and future teammates need that.
Care about the unglamorous paths: empty states, mobile, permissions,
broken links.
Learn to close. Shipping is not only starting features. It is also QA, honesty about risk, and handover.

Closing

Internships end. Products keep going.

I am proud of what we built, proud of how we closed, and grateful for the team, mentors, and trust that made the experience real.

If you want the week-by-week story, start here:
My Software Engineering Internship Journey

Thanks for reading.

Learning Cloud My Own Way

Wed, 08 Jul 2026 10:00:00 +0000

Disclosure: Some of the links in this article are affiliate links. This means I may earn a small commission if you click on them. I only recommend tools that I have used.

Learning cloud and DevOps takes patience, discipline, and consistency. There are days when everything clicks, and there are days when nothing seems to make sense. That is completely normal.

One thing I have discovered is that everyone learns differently.

Some people love following a detailed roadmap from beginning to end. Others prefer structured courses with a fixed schedule. For me, learning is more spontaneous. I follow my curiosity. When I find a topic interesting, I dive deep into it. No amount of advice or motivation can make me learn something if I genuinely have no interest in it.

Recently, I have been learning Kubernetes, and it has been one of the most interesting technologies I have studied so far. Instead of only reading documentation or watching tutorials, I decided to explain what I was learning by creating videos.

Here are two videos I created while learning Kubernetes:

Tools That Have Helped Me Learn

Along the way, I have used a few tools that have made learning easier.

DigitalOcean has been a great platform for experimenting with cloud services. If you are a startup or someone learning cloud on a budget, it is worth checking out because getting basic services running is straightforward.

I have also used Gamma to create presentations and portfolio content, and Lovable to build portfolio projects more quickly.

If you would like to explore these tools, here are the links:

Do You Really Need AWS to Learn Cloud?

One question I see often is whether you need AWS before you can start learning cloud.

My answer might surprise you.

Other cloud providers are friendly and can help you build practical skills before moving into AWS, like DigitalOcean.

There is no single right way to learn cloud computing.

Find a learning style that works for you.

If you enjoy reflections like this, you can subscribe to the newsletter.

You can follow my work and projects on Twitter, LinkedIn, GitHub, and YouTube, where I share what I am building and learning along the way.

Thank you for reading.

The Reality of Roadmaps 🗺️

Tue, 30 Jun 2026 09:00:00 +0000

Do roadmaps actually help people learn?

I am not sure.

Because the first time I saw one, it did the exact opposite.

I remember opening a DevOps roadmap at roadmap.sh and seeing Linux, Networking, AWS, Docker, Terraform, Kubernetes, CI/CD, Security...

The list just kept going.

Instead of feeling motivated, I felt overwhelmed.

I closed all the tabs, shut down my laptop, and went to sleep.

I am serious.

It looked less like a learning path and more like a university degree.

What made it worse was that I went back the next day and tried again.

Same feeling.

Surely there had to be a simpler version somewhere.

So I did what most people do.

I went looking for a better roadmap.

Instead, I found more roadmaps with different layouts, orders, and opinions.

One said to learn Docker before Kubernetes.

Another said the opposite.

One started with Python.

Another skipped it entirely.

I kept searching for the version that would finally make sense.

What I found instead was more confusion.

At some point, I stopped and asked myself an honest question.

Was I actually learning anything?

The answer was no.

I was researching how to learn without doing any learning.

Collecting roadmaps as if they were going to do the learning for me.

That realisation was uncomfortable.

Because it meant the problem was not the roadmap.

It was what I expected the roadmap to do.

There are AWS concepts that took me weeks to understand.

There are things I thought I understood until I tried using them.

There are topics I ignored and had to come back to later.

None of that ever shows up on a roadmap.

The roadmap only shows the clean version of the story.

The finished version.

The version that makes sense after everything has already happened.

Roadmaps show what a field looks like when you zoom out.

They do not show what learning feels like when you are inside it.

I still visit roadmap.sh.

I still think roadmaps are useful.

But I no longer expect them to remove the messy part of learning.

This roadmap feels real to me.

If you enjoy reflections like this, you can subscribe to the newsletter.

You can follow my work and projects on Twitter, LinkedIn, GitHub, and YouTube, where I share what I am building and learning along the way.

Thank you for reading.

Why “Building in Public” Is Hollowing Out Your Developer Career

Thu, 18 Jun 2026 08:00:00 +0000

Somewhere in the last few years, “being a developer” quietly turned into “being a content creator with VS Code open in the background.”

You’re told to:

post daily on X,
share screenshots on LinkedIn,
thread your way to a “personal brand,”
and narrate every micro-step of your side project like a reality show.

If you’re honest, a lot of it doesn’t feel like growth.

It feels like performance.

The industry told you to build in public to grow your career. What it often did instead was trade your deep work for a never‑ending cycle of performative updates.

The Illusion of “Building in Public” as Career Growth

In theory, building in public has real benefits:

you share your journey,
you attract collaborators and users,
you get feedback early,
you build trust over time.

In practice, a lot of devs experience something closer to this:

pressure to post even when there’s nothing meaningful to say,
anxiety about negative feedback and nitpicking, especially early on,
a creeping sense that the project now exists for the timeline, not for users.

Founders and solo builders have already started saying:

building in public added pressure and opened them up to criticism before they were ready;
sharing every step sometimes attracted the wrong audience — other builders, not actual customers.

For developers, it’s even worse:

your “work” isn’t just code; it’s suddenly threads, carousels, and engagement metrics.

Building in public can work when it’s in service of a real product. When it becomes its own product, your career quietly turns into a content channel.

Hustle Culture in a Hoodie: When “Community” Is Just a Content Farm

Scroll LinkedIn or X long enough and you’ll see the same formula:

“Day 27 of building my SaaS in public.”
“Five lessons I learned shipping this tiny feature.”
“Here’s how I grew from 0 to 10k impressions in a month.”

It looks like community.

Underneath, it’s often:

everyone broadcasting,
almost nobody actually talking,
endless “value posts” designed to farm engagement, not build relationships.

Hustle culture research is very clear:

constant pressure to be “always on,” visible, and optimizing yourself is a fast path to burnout;
people burn out not from hard work alone, but from tying their identity and worth to constant output and public performance.

“Developer community” can quietly morph into:

a place where you perform your progress to be seen as serious,
instead of a place where you can be confused, wrong, and still belong.

If every post needs to be ‘high value,’ you’re not in a community — you’re on a stage. And you can’t do deep engineering from a stage.

The Myth of Networking: Why Most “Connections” Feel Empty

A lot of dev networking advice sounds like this:

comment on 20 posts a day,
DM people with a “value offer,”
build a pipeline of leads,
track your interactions like a CRM.

No wonder networking feels gross.

When you see people as:

“targets,”
“leads,”
“potential collabs,”

every interaction becomes a bit of a transaction.

Writers on networking point out:

transactional networking focuses on what you get and what you give right now;
real, long-term networking looks more like friendships: shared curiosity, vulnerability, mutual support without immediate ROI.

The developer version of this:

boosting each other’s posts,
trading likes and “fire thread bro,”
without ever actually reading each other’s code, docs, or ideas.

If your “network” disappears the moment you stop posting, you didn’t build relationships. You built an audience with commitment issues.

Deep Work vs. Shallow Visibility: What Actually Moves Your Career

Here’s the part almost no “build in public” thread admits:

High-quality engineering work still comes from long, quiet, cognitively demanding sessions — deep work.

Deep work for engineers looks like:

designing or refactoring serious systems,
debugging hairy production issues,
learning technologies deeply enough to bend them, not just copy patterns.

Shallow work looks like:

checking analytics,
replying to on-platform comments,
cranking out posts to stay “top of mind,”
tweaking your “personal brand.”

Productivity research keeps finding the same thing:

deep work blocks (60–90 minutes, protected from distraction) are where engineers produce lasting value;
constant context-switching into social apps and content creation erodes your ability to concentrate and reason deeply.

Even content people are starting to say:

meaningful writing and creative work also need deep work;
churning out fast food content creates attention, not substance.

So when developers try to:

be great engineers,
be consistent content creators,
be always-on networkers,

they’re effectively trying to run three cognitively expensive careers at once.

You can either optimize for long-term leverage in your skills, or for daily impressions. Pretending you can do both at scale is how you quietly burn out.

How to Grow Your Career Without Becoming a “Content Creator”

If building in public and hustle-flavored networking feel wrong to you, good.

You’re not anti-growth. You’re allergic to nonsense.

There is a quieter, more sustainable path.

1. Trade public performance for small, real circles

Instead of:

broadcasting to thousands you don’t know,

do this:

join or form a small group (3–8 devs) around a stack or topic you care about.
meet regularly (monthly/bi-weekly) to:
— review each other’s code,
— share real problems,
— talk about trade-offs and decisions.

This is closer to genuine networking research:

relationships built around vulnerability and mutual help, not transactions.

2. Treat deep work as your primary “brand”

Your actual career capital is:

systems you’ve built,
migrations you’ve survived,
incidents you’ve handled well,
weird bugs you’ve debugged and understood.

Protect daily deep work blocks like meetings:

60–90 minutes a day where Slack, socials, and posting are off.
learn, design, or build something hard, then document it privately first (notes, ADRs, internal docs).

You’ll have far more to say publicly later if and when you choose.

You don’t owe the internet your process.

A healthier rhythm:

focus on building for weeks or months,
periodically share one well-thought-through post:
— “Here’s how we solved X at Y scale.”
— “Here’s a migration that hurt, and why I’d do it differently.”

Quality over cadence.

As even pro‑content people admit: resonant work takes time.

4. Network like a human, not a funnel

When you reach out:

reference something specific you actually read or used,
offer something small but real (a useful comment, a perspective, a resource),
be okay if nothing “converts” immediately.

Long-term networking research is blunt:

real opportunities come from a handful of strong ties built on trust and vulnerability, not from hundreds of shallow interactions.

The most valuable developer network you’ll ever have fits into a group chat, not a follower count.

The Quiet Flex: Being Good at the Boring Parts

The irony of all this is simple:

the people shipping the most meaningful work are often too busy doing it to narrate every step;
the loudest “builders in public” are sometimes optimizing more for perception than for durable skill.

If you want a career that actually compounds, not just one that looks impressive on social media:

get uncomfortably good at deep, focused engineering work;
cultivate a small, honest circle of peers with whom you can be wrong, confused, and ambitious;
share publicly when you genuinely have something to say — not because the algorithm demands a sacrifice.

You don’t have to become a thought leader.

You don’t have to “build in public” every commit.

You just have to:

keep learning in private,
keep shipping in reality,
and build a handful of relationships strong enough to survive even if you never post again.

The best thing you can do for your developer career is not to become more visible. It’s to become someone worth finding, even if you’re quiet.

I’m an Independent Technology Partner for SMEs. If you’re looking to optimize your architecture or accelerate your MVP, let’s connect at karolmodelski.pl.

A Developer’s Lesson on Feedback

Tue, 21 Apr 2026 06:38:21 +0000

I built my first React Native MVP for a startup pitch.

I was proud of it… until the feedback started coming in.

Instead of handling it, I passed it to a junior teammate.

At the time, I told myself:
“I just don’t like being told what to do.”

But the truth?

I was tired.
I felt unappreciated.
And I was too attached to my work.

Later that day, I stepped away, came back, and realized something:

The problem wasn’t the feedback.
It was my *state when I received it.

As developers, we think we’re logical, but feedback hits your ego, your energy, and your identity.

That’s why we react instead of process.

This was a tough lesson for me, especially after realizing it’s a pattern that’s cost me opportunities before.

I wrote a full breakdown on:

Why devs resist feedback
how ego + burnout affect us
and how to actually handle it better

Read it here
https://shakiran.hashnode.dev/the-code-wasn-t-the-problem-my-state-was

Why I Mentor Junior Developers: Growing the Next Generation of Tech Talent

Sun, 19 Apr 2026 21:20:18 +0000

In 2017, I was a backend developer at Civic MediaLab in Lagos, staring at a production codebase that made no sense to me. The API layer was a tangle of inconsistent patterns. The database schema looked like it had been designed by three different people who never spoke to each other. I was technically employed to write code, but I had no idea where to start.

A senior engineer on the team — a man who had no formal obligation to teach me anything — sat me down one afternoon, opened the codebase on his screen, and walked me through the architecture. Not just the "what," but the "why." Why the services were structured that way. Why certain trade-offs had been made. Why the team had chosen Laravel over alternatives for that particular project. That single afternoon reshaped how I thought about software engineering. It was the first time someone had treated me not as a resource to extract output from, but as a professional worth investing in.

That moment planted a seed. Over nine years of building systems across fintech, health-tech, gaming, logistics, and enterprise SaaS, I have become the engineer who pulls up a chair and walks through the architecture. Mentoring junior developers is not a side activity for me — it is a fundamental part of how I practise engineering, and I believe it is one of the most impactful things a senior engineer can do for the technology sector.

The Mentoring Gap in Tech

The technology industry has a well-documented pipeline problem. We talk endlessly about hiring, about talent shortages, about the difficulty of finding "senior" engineers. What we talk about far less is the systematic failure to develop the talent we already have.

This gap is especially acute in emerging markets. In Lagos, where I began my career, the demand for experienced software engineers far outstrips supply. Boot camps and university programmes produce developers who can write code, but the journey from writing code to building production systems — understanding architecture, debugging complex distributed systems, making sound technical trade-offs under pressure — that journey requires guided experience. It requires mentorship.

The statistics bear this out. According to a 2023 Stack Overflow Developer Survey, over 60% of developers with fewer than five years of experience report that they lack access to meaningful technical mentorship at work. In African tech ecosystems, where the average engineering team is smaller and companies often cannot afford dedicated developer experience roles, the problem is even more pronounced.

I have seen the consequences firsthand. Junior developers who are talented but directionless, writing code that works but does not scale. Mid-level engineers who have plateaued because nobody ever showed them how to think about system design. Brilliant minds leaving the industry entirely because they felt unsupported and overwhelmed.

This is not a talent problem. It is a mentorship problem. And it is one that senior engineers — those of us who have accumulated the scars and the knowledge — have both the ability and the responsibility to solve.

My Approach to Mentoring

Over the years, I have developed a mentoring approach that goes beyond answering questions when asked. It is proactive, structured, and woven into the daily fabric of engineering work. I learned early that the most effective mentoring does not happen in scheduled one-on-ones (though those matter too). It happens in the moments where engineering decisions are being made in real time.

Code Reviews as Teaching Moments

I treat every code review as a teaching opportunity. When I review a junior developer's pull request, I do not simply approve or request changes. I explain the reasoning behind my suggestions. If I ask someone to refactor a database query, I explain what the current query does to performance at scale. If I suggest a different design pattern, I walk through the trade-offs of both approaches.

At Lordwin Group, where I led a team of five backend developers, I established a code review culture where every pull request received at least two reviews, and at least one review had to include an explanatory comment — not just "change this," but "here is why." The impact was immediate. Junior developers began anticipating architectural concerns in their own code before the review stage. The quality of initial submissions improved dramatically within three months.

I remember reviewing a pull request from a junior developer on the team who had written a working but brittle API endpoint for the gaming platform. Instead of rewriting it myself, I scheduled a 30-minute pair programming session. We walked through the request lifecycle together — how the payload was validated, how the database was queried, how the response was structured, and where the failure points were under load. By the end of the session, the developer had refactored the endpoint themselves, and more importantly, they understood the principles behind the refactoring. That developer went on to independently architect a feature module for our investment platform three months later.

Pair Programming as Skill Transfer

Pair programming is the most underutilised mentoring tool in software engineering. I use it deliberately, especially for complex features or unfamiliar domains. When I was at 2am Tech, collaborating with a cross-functional team of eight engineers building Addio — a financial platform serving 500+ organisations — I regularly paired with less experienced team members on critical backend work.

One engineer on the team was strong in frontend development but had limited backend experience. Rather than assigning them only frontend tasks, I paired with them on building a Node.js service that handled vendor payment workflows. Over several pairing sessions, we worked through API design, database transaction management, error handling patterns, and queue-based architecture for processing payments asynchronously. Within two months, that engineer was confidently building backend services independently and had begun contributing to our architecture discussions.

Olamilekan Lamidi does not hoard knowledge. That principle guides everything I do in a team.

Architecture Discussions as Education

I make a point of including junior and mid-level engineers in architecture discussions, even when their immediate role does not require it. At 54gene, where I worked as a full-stack developer building data collection systems for Africa's leading genomics company, we had a cross-functional team of 10+ members. I advocated for — and helped establish — weekly architecture review sessions where engineers at every level could participate.

These sessions were not presentations. They were collaborative discussions where I would propose an architecture, invite challenges, and walk through the reasoning behind decisions. Why we chose a service-oriented approach for certain modules. Why we implemented specific caching strategies for patient data forms. How we balanced data sensitivity with system performance.

The junior engineers on the team may not have been making those architectural decisions, but by witnessing and participating in the discussion, they were building the mental models they would need when they eventually did. Several of those engineers have since moved into senior roles at other companies — and I know those sessions played a part in their growth.

Structuring Mentorship Beyond Technical Skills

Technical mentoring is essential, but it is not sufficient. The engineers I mentor most effectively are the ones where I invest in three dimensions: technical skills, soft skills, and career navigation.

Technical Skills: Building Depth and Breadth

I structure technical mentoring around progressive complexity. A junior developer on my team does not jump straight from CRUD operations to distributed systems. I map out a learning path:

Foundations: Clean code, testing, version control discipline, debugging methodologies
Intermediate: API design, database optimisation, authentication patterns, error handling at scale
Advanced: System architecture, event-driven patterns, performance profiling, infrastructure as code

At Lordwin Group, I created informal "engineering growth plans" for each of the five developers I led. These were not corporate HR documents — they were living technical roadmaps. Each quarter, I sat with every team member and reviewed where they were, what they had learned, and what they needed to tackle next. One developer who started as a PHP-only backend engineer progressed to confidently working across Node.js and React within eight months through this structured approach.

Soft Skills: Communication, Estimation, and Ownership

I have watched technically brilliant engineers stall in their careers because they could not communicate their ideas, estimate their work, or take ownership of outcomes. Mentoring in these areas is harder — it requires trust and candid conversation — but the payoff is enormous.

I coach engineers on how to present technical proposals to non-technical stakeholders. How to write clear, concise pull request descriptions. How to estimate work by breaking down unknowns. How to own a failure, conduct a post-mortem, and extract lessons without blame. These are the skills that separate engineers who write code from engineers who lead teams.

Career Guidance: Navigating the Path

Especially for engineers in Lagos and across Africa, career navigation can be opaque. Which technologies should you invest in? When should you specialise versus generalise? How do you break into remote roles with international companies? How do you negotiate compensation?

I share my own career trajectory openly — from Civic MediaLab in Lagos to working with teams across Ukraine, the United States, and the United Kingdom. I discuss the decisions I made, the mistakes I made, and the skills that unlocked each transition. For engineers who aspire to work on the global stage, having someone who has walked that path is invaluable.

Impact: Developers Who Grew

Mentoring is difficult to quantify. There is no dashboard that shows "junior developer promoted to senior because Olamilekan Lamidi spent 30 minutes explaining event-driven architecture." But the evidence is there in the trajectories of the people I have worked with.

At Lordwin Group, two of the five developers I led as a senior engineer went on to secure senior engineering positions within 18 months of our time working together. One of them now leads a team of his own at a fintech company in Lagos. He told me directly that the code review culture and architecture discussions I established were the most impactful learning experiences of his early career.

At 2am Tech, the engineer I paired with on backend services went from being a frontend-only developer to a full-stack engineer within one product cycle. They credited the pairing sessions with giving them the confidence to tackle unfamiliar domains.

At 54gene, the junior engineers who participated in our architecture reviews went on to contribute meaningfully to system design decisions by the end of their tenure — a progression that typically takes much longer without structured exposure.

These are not isolated cases. They are the predictable outcome of treating mentoring as engineering work — work that deserves time, intention, and rigour.

Community Engagement: Mentoring Beyond the Workplace

My commitment to mentoring extends beyond the teams I work with directly. I have been active in the Lagos tech community, participating in developer meetups and knowledge-sharing sessions that help early-career engineers navigate the industry. I engage on platforms like ADPList, where I offer mentoring sessions focused on backend engineering, career transitions, and breaking into remote international roles.

I also contribute to the broader engineering community through technical writing — articles like this one, published on Medium, DEV.TO, and LinkedIn — that distil hard-earned lessons into accessible guidance. Every article I publish is, in a sense, a mentoring session at scale. When a junior developer in Nairobi or Accra reads about how I optimised database queries at VacancySoft or architected a real-time gaming backend at Lordwin Group, they are gaining access to production-level knowledge that they might not encounter in their current work environment.

This is not altruism. It is ecosystem building. The stronger the engineers around me, the stronger the teams I work with, the products I contribute to, and the industry as a whole.

The Business Case for Mentoring

For engineering leaders reading this, mentoring is not just a moral good — it is a strategic advantage. The data is compelling:

Faster Onboarding. Teams with structured mentoring practices onboard new engineers 40–50% faster. At Lordwin Group, new developers were contributing production code within their second week, compared to the industry average of four to six weeks. This was a direct result of the code review culture and pairing practices I established.

Better Code Quality. When junior developers understand the "why" behind architectural decisions, they write better code from the start. Our pull request rejection rate at Lordwin Group dropped by roughly 35% within four months of implementing teaching-oriented code reviews.

Reduced Turnover. Engineers who feel invested in stay. In an industry where the average tenure is under two years, creating an environment where developers are actively growing is one of the most effective retention strategies available. The Lordwin team remained remarkably stable during my tenure despite competitive market conditions.

Knowledge Distribution. In teams without mentoring culture, knowledge concentrates in one or two senior engineers. This creates catastrophic bus factor risk. By actively distributing knowledge through mentoring, I ensured that no single engineer — including myself — was a single point of failure.

A Call to Action for Senior Engineers

If you are a senior engineer reading this, I want to challenge you directly: when was the last time you deliberately taught someone something?

Not answered a question in Slack. Not pointed someone to the documentation. Actually sat down, understood where someone was struggling, and helped them build the mental model they needed to solve the problem themselves.

Olamilekan Lamidi's career was shaped by a senior engineer who chose to invest 30 minutes in a confused junior developer at Civic MediaLab in 2017. That investment compounded. It made me a better engineer, which made me a better technical lead, which made the teams I led more effective, which made the products we shipped more robust.

Every senior engineer has this power. The question is whether we choose to use it.

The technology sector does not advance through individual brilliance alone. It advances when knowledge flows freely, when experienced practitioners invest in the next generation, and when the barriers to entry are lowered not by reducing standards, but by raising support.

I mentor because I was mentored. I share because someone shared with me. And I will continue doing so because I have seen, over nine years and across six companies and four countries, that this is how you build an industry that lasts.

Stop Overpaying for Rent: What Tech Workers in Indonesian Industrial Cities Need to Know in 2026

Sun, 12 Apr 2026 07:24:55 +0000

"The smartest engineers I know optimize their code for efficiency — but forget to optimize their biggest monthly expense: rent."

Let me be real for a second.

Developers and engineers in Karawang, Bekasi, and Cikarang — pushing Rp 7–10 million salaries into overpriced kos-kosan they barely use. No stable WiFi. Shared bathroom cleaned once a week. For more than it should cost.

The irony? They can architect microservices in their sleep, but when it comes to affordable rent for tech workers, they just grab whatever's available near the factory gate.

A 2026 cost-of-living report for Indonesia shows rent in industrial satellite cities ranges Rp 1.2–4.5 million per month — and the difference isn't always about quality. It's information asymmetry. Research published in Cities journal — examining how housing prices influence job location choice among skilled workers — confirms that affordability directly drives where tech talent chooses to build careers.

Rp 1.2M Minimum decent kos price in Karawang (2026 est.)

68% Developers prefer WFH/hybrid — housing is a productivity tool

40% Of tech worker salary can vanish into poorly chosen housing

1. Why Indonesian Industrial Cities Are Quietly Becoming Tech Hubs

Karawang. Bekasi. Cikarang. Deltamas. These names aren't trending on startup Twitter — but they are the engine rooms of Indonesia's manufacturing economy. And increasingly, they're attracting automation engineers, IoT system integrators, ERP specialists, data analysts embedded in factory floors, and fully remote developers who've realized that Rp 8 million in Karawang beats Rp 8 million in South Jakarta on every quality-of-life metric.

As highlighted in this viral Coderlegion piece on building career capital outside traditional paths, the modern tech worker's location is increasingly decoupled from their employer's city — and industrial satellite cities with strong logistics corridors are winning this migration.

Lower cost of living — rent, food, and transport are meaningfully cheaper than central Jakarta
Industrial internet infrastructure — many industrial zones have fiber-optic backbone built for manufacturing, which benefits everyone nearby
Less traffic overhead — commuting in Karawang vs. SCBD Jakarta is a different universe entirely
Growing tech ecosystem — Japanese and Korean manufacturers are digitalizing operations, creating sustained local demand for technical talent
Proximity to logistics hubs — e-commerce and supply chain tech workers find strategic value in being located here

Context: Karawang's industrial zone (KIIC, BIIE, KIEC) hosts over 1,000 multinational factories. The digital transformation wave — smart factories, Industry 4.0 adoption — is generating sustained demand for technical labor that won't slow down anytime soon.

2. The Rent Trap: What Most Tech Workers Get Wrong

Here's a phenomenon I call the proximity bias trap: most workers, when relocating to an industrial city for work, simply find the nearest available kos to their workplace and sign a one-year contract. Fast, convenient, done. But this logic is quietly expensive.

A room priced at Rp 800,000/month sounds like a win — until you factor in the hidden costs that erode that advantage entirely.

Cost Factor	"Budget" Kos (Rp 800K)	Modern Kos (Rp 1.5M)
Base rent	Rp 800,000	Rp 1,500,000
WiFi (separate)	Rp 150,000–300,000	Included
AC electricity surcharge	Rp 200,000–400,000	Included
Security	No CCTV	24h CCTV + Guard
WiFi quality	Shared, unstable	Dedicated 24h
Effective total/month	Rp 1.4M–1.8M	Rp 1.5M (fixed)

When you run the real numbers, the "budget" option is often more expensive than a properly-priced modern kos — and it costs you something money can't easily recover: stable working conditions.

"A slow internet connection during a production deployment isn't just annoying. It's a career event."

— Common sentiment among on-call developers working hybrid from Indonesian industrial cities

3. What "Affordable Rent for Tech Workers" Actually Looks Like in 2026

The term affordable rent for tech workers needs a modern redefinition. Affordability isn't just about the monthly figure on the contract — it's about the value stack you get for that number. As a tech worker, your room is also your backup office, your recharge zone, and in many hybrid scenarios, your primary workspace.

The Non-Negotiable Feature Checklist:

Dedicated 24-hour WiFi — not shared, not throttled, not "WiFi tersedia" with a router 3 floors away
Private AC unit — working in 32°C tropical heat with no cooling is not a lifestyle, it's a health hazard
Ergonomic work setup — a proper desk and chair, not a bed-laptop combo that destroys your posture in 6 months
Private bathroom — shared facilities are a time sink and a hygiene risk; non-negotiable for serious professionals
Security infrastructure — CCTV and 24-hour guard presence; your equipment represents months of salary
Smart TV — not a luxury; it's how you decompress and stay mentally functional after long work sessions
Clean, maintained environment — chronic stress from a dirty living space is documented to reduce cognitive performance

The PropTech Angle: Globally, property technology is reshaping rental markets — and Indonesia is catching up fast. Smart kos operators are now applying tech-forward management practices: digital rent payment systems, QR-code access, online maintenance tickets, and transparent pricing with zero hidden fees. This isn't a luxury segment phenomenon. It's hitting the Rp 1.5M price band in industrial cities like Karawang right now.

4. How to Find the Right Kos as a Tech Worker: A Systematic Approach

Most people pick accommodation the way they pick a framework — based on what they've heard from someone else, without actually evaluating the tradeoffs. Here's a more deliberate process.

Run the Total Cost Calculation First — Add up base rent + electricity estimate + WiFi if not included + transport cost from workplace + admin fees. Compare the "effective price" — not the advertised price.
Test the WiFi Before Signing Anything — Run a speed test (fast.com or speedtest.net) from the actual room. Ask about peak-hour performance. Minimum viable: 20 Mbps stable download for single-user remote work.
Inspect the Security Setup — Locate the CCTV cameras. Confirm whether there's a physical guard at night. Ask about the access system. Does the gate lock after hours?
Assess the Work Environment — Sit at the desk for 10 minutes. Check the chair. Check power outlet placement and acoustic isolation for video calls. Natural light matters more than you think.
Read the Contract for Hidden Clauses — Watch for: electricity rate per kWh above PLN tariff, early termination penalties, deposit return conditions, and shared-cost bills for common areas.
Talk to Existing Residents — If possible, speak to someone who already lives there — not the owner. Ask: how long have you stayed? Any maintenance issues? Would you renew?

5. Karawang as a Case Study: Industrial Location Meets Smart Urban Living

Karawang, West Java sits at an interesting inflection point. It is one of Indonesia's most economically significant regencies — home to massive industrial estates like KIIC, BIIE, MM2100, and Kota Bukit Indah — while simultaneously being undervalued as a place to live well on a reasonable budget.

For tech workers, this creates an unusual opportunity: access to high-demand industrial employment in a city where affordable rent for tech workers is genuinely within reach — if you know what quality looks like and where to find it.

What Karawang Offers That Jakarta Doesn't:

Factor	Central Jakarta	Karawang Industrial Zone
Average modern kos rent	Rp 2.5M–5M/mo	Rp 1.2M–2M/mo
Daily commute stress	Very High	Low to Medium
Daily food cost	Rp 50,000–100,000	Rp 25,000–60,000
Monthly savings potential	Lower	Significantly Higher
Industrial tech job market	Saturated, highly competitive	Active and growing

Real Talk: The monthly savings from a well-chosen kos in Karawang vs. equivalent Jakarta accommodation can realistically fund a cloud server subscription, a side project domain + hosting stack, a professional course, and a year-end trip — simultaneously. That's not trivial money for someone actively building a career.

6. Frequently Asked Questions: Rent, Tech Work, and Life in Indonesian Industrial Cities

Is Rp 1.5 million/month actually enough for a decent kos with good WiFi and security?
Yes — in Karawang and similar industrial cities (not central Jakarta). At this price point in 2026, well-managed modern kos properties offer AC, private bathroom, smart TV, 24-hour WiFi, CCTV, and security guard. The key is finding operators who are transparent with zero hidden fees.

Can I work remotely effectively from a kos in Karawang?
Absolutely — provided the WiFi infrastructure is solid. Industrial zones typically have better backbone connectivity than many residential urban areas. A modern kos with dedicated 24-hour fiber-based WiFi is a fully viable remote work base. Always test before committing.

What's the minimum salary to live comfortably in Karawang?
With all-in costs averaging Rp 3–4.5 million/month for a tech worker (kos + food + transport + personal), a salary of Rp 6–7 million already allows meaningful savings. Many engineers here earn Rp 8–15 million — making the surplus genuinely significant for skill investment or side projects.

Are there kos specifically designed for working professionals vs. students?
Yes, and the distinction matters significantly. Professional-grade kos properties in industrial areas typically offer private bathrooms, desk setups, quieter environments, better security, and more stable infrastructure. They cost slightly more but are categorically different in livability and productivity impact.

How does housing quality actually affect developer productivity?
Significantly. Research consistently links stable sleep, reliable internet, thermal comfort, and psychological safety to cognitive performance. A developer working from a noisy, hot room with unstable WiFi is running at a measurable deficit — one that compounds over months. This is not soft information; it's backed by occupational science.

Your Environment Is Part of Your Tech Stack

Let me close with one framing that might change how you see housing decisions: where you live is infrastructure. Just like your laptop, your internet plan, and your development environment — your physical living space is a component in your productivity system.

The community here at Coderlegion knows this intuitively when it comes to tools. We debate framework choices, cloud providers, and editor configs with enormous rigor. But affordable rent for tech workers rarely gets the same systematic treatment — and it should.

Karawang and Indonesia's industrial corridor in 2026 represent a genuine opportunity: live well, spend less, save aggressively, and invest the delta into what actually moves your career. The infrastructure is there. The housing is there. The question is whether you'll approach it with the same intentionality you bring to your codebase.

"Keep your identity small. The more labels you add to yourself, the stupider they make you."

— Paul Graham, programmer, essayist, and co-founder of Y Combinator

Applied to housing decisions for tech workers: don't let the label of "frugal developer" force you into genuinely bad living conditions. And don't let the label of "high-earning engineer" make you blind to waste. Run the numbers. Think systematically. Optimize for a life that lets you do your best work — and that's exactly what you can find in Indonesia's industrial cities in 2026, if you know where to look.

Featured Housing Resource for Tech Workers in Karawang

Rukos Hijau — Modern Kos for Urban Professionals

Located in Karawang, West Java — Rukos Hijau offers a fully-equipped modern kos designed specifically for working professionals. Smart TV · Private AC · Ergonomic workspace · 24/7 WiFi · Private bathroom · CCTV + 24-hour security · Transparent pricing at Rp 1,500,000/month with no hidden fees and no surprises.

Visit Rukos Hijau → rukoshijau.com

My Biggest Mistake in College…

Sat, 11 Apr 2026 04:47:25 +0000

Looking back, my biggest mistake was simple —
I thought I had a lot of time.

I believed:
“I’ll start learning later.”
“I’ll focus on skills after exams.”
“I’ll figure things out in the final year.”

But time moved faster than I expected.

While I was waiting,
others were building skills,
doing internships,
and getting ahead.

By the time I realized,
I was already late.

What I learned:

College is not just about passing exams
Skills matter more than marks
Starting early always gives you an advantage
Small daily efforts can change your future

If you’re in college right now,

don’t wait for the “right time”.

Start now.
Learn something.
Build something.
Improve every day.

Because later becomes too late very quickly.

What’s one mistake you made in college?

CollegeLife #StudentLife #CareerGrowth #Learning #Mistakes #SelfImprovement

Total Rewards Talenta Tech: Kompensasi, Leveling, dan Insentif untuk Retensi

Mon, 02 Mar 2026 17:00:00 +0000

Di tengah “war for talent” dan budget yang makin ketat, perusahaan tech dituntut lebih cerdas daripada sekadar menaikkan gaji. Banyak diskusi publik mengarah ke strategi retensi dan efisiensi biaya—misalnya liputan Financial Times tentang dinamika kompensasi dan tekanan baru di pasar kerja global yang memaksa perusahaan merapikan cara mereka memberi nilai ke karyawan lewat paket total rewards. Baca konteksnya di laporan Financial Times tentang pasar kompensasi. Di artikel ini, kita bedah cara menyusun sistem yang rapi—dari leveling sampai insentif—tanpa “drama Slack” tiap kali salary review. Dan ya, paragraf ini sengaja ditutup dengan frasa kunci: kompensasi dan leveling talenta.

Sisi menariknya: tema ini bukan sekadar best practice ala LinkedIn. Ada riset yang menguatkan bahwa desain reward, keadilan, dan persepsi nilai memengaruhi retensi, engagement, dan performa. Sebagai landasan, Anda bisa cek studi pada paper penelitian tentang reward, motivasi, dan retensi yang merangkum temuan empiris seputar keterkaitan kebijakan kompensasi dengan perilaku kerja. Kenapa tema ini penting buat pembaca Coderlegion? Karena karier tech bergerak cepat (AI/Python, platform engineering, security), sementara sistem people & rewards di banyak perusahaan masih “ngikutin template lama”—hasilnya: friksi, attrition, dan hiring cost yang bocor.

“Retensi itu bukan tentang ‘menahan orang’, tapi tentang membangun sistem yang membuat orang merasa bertumbuh, dihargai, dan adil—secara konsisten.”

1. Peta Besar Total Rewards di Dunia Tech

Total rewards di perusahaan tech bukan hanya gaji. Ia adalah value stack—serangkaian “tukar-menukar nilai” antara perusahaan dan talenta: uang, pertumbuhan, fleksibilitas, makna, dan lingkungan kerja. Bab ini mengunci definisi dan boundary dulu, supaya diskusi kompensasi dan leveling talenta tidak jadi debat selera.

Apa Itu Total Rewards (Versi Praktis)

Total rewards biasanya mencakup:

Compensation: base salary, bonus, insentif.
Benefits: asuransi, cuti, wellness, alat kerja.
Work-life & flexibility: remote/hybrid, jam kerja, kebijakan on-call.
Recognition: penghargaan, spot bonus, public shout-out yang tidak cringe.
Development: learning budget, mentoring, rotasi project, career growth.

Kenapa “Total” Itu Penting untuk Talenta AI/Python

Talenta AI/Python sering punya market pull tinggi. Kalau perusahaan hanya bermain di base salary, Anda masuk kompetisi paling mahal. Total rewards memungkinkan Anda menang lewat:

kejelasan jalur karier (leveling),
kualitas challenge & scope, dan
insentif yang nyambung ke impact.

2. Fondasi Leveling: Dari Job Title ke “Impact Band”

Sebelum bicara angka, rapikan dulu cara Anda mendefinisikan level. Leveling yang rapi adalah “bahasa bersama” antara engineering, HR, dan finance—yang membuat salary review bisa dibaca sebagai sistem, bukan drama. Di sinilah inti kompensasi dan leveling talenta biasanya dimulai.

Leveling Bukan Sekadar Senior/Junior

Framework leveling yang matang biasanya menjelaskan:

Scope: ukuran masalah yang ditangani.
Autonomy: seberapa mandiri pengambilan keputusan.
Influence: dampak pada tim/produk/org.
Complexity: tingkat kompleksitas teknis & koordinasi.
Craft: kualitas engineering (reliability, security, maintainability).

Contoh Ringkas “Impact Band” (Bisa Diadaptasi)

Band	Fokus Dampak	Contoh Output	Sinyal Risiko Jika Tidak Jelas
IC1–IC2	Eksekusi fitur & bugfix	PR rapi, test dasar	“Kerja banyak tapi tidak terlihat”
IC3	Ownership modul	Refactor + observability	Scope creep tanpa prioritas
IC4	Sistem lintas modul	Reliability, performance	Over-dependence pada 1 orang
IC5	Org-wide leverage	Platform/standar	Konflik pengaruh & keputusan

Tip: gunakan bahasa yang bisa diuji lewat bukti (artefak kerja), bukan opini.

Internal Link yang Relevan untuk Pembaca Coderlegion

Kalau Anda ingin menyelaraskan goal-setting (OKR/KPI) dengan leveling dan reward, artikel Coderlegion ini cocok sebagai pengantar: Setting SMART Goals for Digital Product Success.

3. Desain Kompensasi: Fair, Kompetitif, dan Bisa Dipertanggungjawabkan

Di pasar tech, kata “fair” bisa berarti tiga hal: internal equity, external competitiveness, dan procedural fairness (prosesnya bisa dipercaya). Bab ini memecah cara merancang kompensasi dan leveling talenta yang tahan debat.

Komponen Kompensasi yang Umum di Tech

Base salary: jangkar stabilitas.
Variable pay: bonus performance, insentif proyek.
Equity/ESOP: common di scale-up; butuh edukasi nilai & risiko.
Allowance: internet, coworking, device refresh.

Checklist “Fairness” yang Sering Dilupakan

Apakah range tiap level punya batas bawah–atas yang jelas?
Apakah ada calibration lintas tim agar tidak bias “tim paling vokal”?
Apakah promosi dan kenaikan kompensasi punya criteria yang bisa dibuktikan?
Apakah Anda memisahkan “kenaikan karena inflasi/market” vs “kenaikan karena growth level”?

4. Insentif yang Selaras dengan Impact (Bukan Sekadar Output)

Insentif di tech gampang salah desain: terlalu fokus output → quality turun; terlalu fokus vanity metric → gaming. Kuncinya adalah menghubungkan insentif ke impact yang relevan dan terukur—sejalan dengan leveling. Ini bagian krusial dari kompensasi dan leveling talenta yang sering bikin sistem “kerasa” adil.

Prinsip Insentif Modern

Lagging + leading indicators: hasil bisnis + kualitas engineering.
Guardrail metrics: mis. error rate, incident count, security findings.
Team-based reward untuk kerja kolaboratif (platform, SRE, security).

Contoh Skema Insentif yang “Tidak Mengundang Gaming”

Tujuan	Metric Utama	Guardrail	Bentuk Insentif
Percepat delivery	Lead time turun	Defect tidak naik	Bonus kuartal
Tingkatkan reliability	MTTR turun	Pager fatigue	Spot bonus + time-off
Dorong learning AI/Python	Sertifikasi/portofolio	Relevansi produk	Learning budget + project rotation

5. How-To: Menyusun Sistem Total Rewards dalam 30–60 Hari

Bab ini dibuat operasional—bukan teori. Anggap ini playbook ringan untuk merapikan kompensasi dan leveling talenta tanpa perlu “re-org besar-besaran”.

Langkah 1 — Audit Leveling dan Role Clarity

Kumpulkan job description aktual (yang dipakai sehari-hari, bukan dokumen museum).
Petakan role → band impact.
Identifikasi role yang overlap dan role yang jadi single point of failure.

Langkah 2 — Bangun Salary Range dan Rule of Movement

Tentukan range per band (min–mid–max).
Buat aturan sederhana: kapan naik within band, kapan promosi.
Pisahkan budget: market adjustment vs merit increase.

Langkah 3 — Rancang Insentif + Guardrail

Pilih 1–2 metric impact yang masuk akal.
Tambahkan guardrail kualitas (reliability/security).
Simulasikan skenario “gaming” sebelum rilis.

Langkah 4 — Komunikasi yang Tidak Menggurui

Buat one-pager untuk engineer: “cara kerja leveling & reward”.
Siapkan FAQ internal dan contoh kasus.
Latih manager untuk calibration conversation.

Langkah 5 — Review, Calibration, dan Iterasi

Jalankan pilot 1 siklus review.
Retrospective: apa yang bikin tidak adil/ambigu.
Iterasi kecil tapi rutin—lebih baik daripada rework besar tahunan.

FAQ

1) Apakah total rewards selalu harus pakai ESOP?

Tidak. ESOP cocok untuk perusahaan dengan strategi pertumbuhan dan kemampuan edukasi risiko. Banyak organisasi menang lewat kombinasi base, benefits yang relevan, dan jalur karier yang jelas.

2) Gimana cara menghindari “salary compression” saat hiring?

Pisahkan market adjustment dari merit, lakukan range governance, dan lakukan calibration lintas tim. Ini bagian dari disiplin kompensasi dan leveling talenta yang paling sering di-skip.

3) Apakah engineer harus tahu salary range?

Transparansi itu spektrum. Minimal: orang paham range levelnya, aturan movement, dan kriteria promosi. Semakin transparan, semakin butuh maturity proses.

4) Bagaimana mengukur keberhasilan perubahan total rewards?

Gunakan kombinasi: attrition rate, time-to-fill, engagement pulse, kualitas delivery (reliability), dan persepsi fairness dari survei.

Mengunci Sistem: Dari “Pay People” ke “Build a Talent Engine”

Sebagai penutup, mari pinjam perspektif Satya Nadella, CEO Microsoft yang dikenal mendorong transformasi budaya dan growth mindset di organisasi teknologi global. Ia pernah berkata: “Our industry does not respect tradition—it only respects innovation.” (Artinya: Industri kita tidak menghormati tradisi—ia hanya menghormati inovasi.) Kutipan ini tercatat di halaman Wikiquote Satya Nadella. Dalam konteks total rewards, inovasi bukan cuma soal fitur—tapi juga soal bagaimana perusahaan merancang sistem kompensasi dan leveling talenta yang adaptif terhadap skill baru (AI/Python), cara kerja modern, dan ekspektasi fairness yang makin tinggi. Kalau rewards system Anda kaku, inovasi talent akan pindah ke tempat lain.

Jika Anda ingin merapikan desain organisasi, leveling, performance management, dan total rewards secara kolaboratif (co-creation) agar nyambung ke strategi bisnis, Anda bisa mengenal pendekatan kami lebih jauh di Better & Co..

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    {"@type": "HowToTool", "name": "Template leveling (impact band)"}
  ],
  "step": [
    {
      "@type": "HowToStep",
      "name": "Audit leveling dan role clarity",
      "text": "Petakan role ke impact band, cek overlap, dan identifikasi single point of failure.",
      "url": "https://betterandco.com/"
    },
    {
      "@type": "HowToStep",
      "name": "Bangun salary range dan aturan movement",
      "text": "Tentukan min-mid-max per level dan bedakan market adjustment vs merit increase.",
      "url": "https://betterandco.com/"
    },
    {
      "@type": "HowToStep",
      "name": "Rancang insentif dengan guardrail",
      "text": "Pilih metric impact, tambahkan guardrail kualitas (reliability/security), dan uji potensi gaming.",
      "url": "https://betterandco.com/"
    },
    {
      "@type": "HowToStep",
      "name": "Komunikasi dan calibration",
      "text": "Buat one-pager, siapkan FAQ, latih manager untuk calibration conversation lintas tim.",
      "url": "https://betterandco.com/"
    },
    {
      "@type": "HowToStep",
      "name": "Review dan iterasi",
      "text": "Jalankan pilot 1 siklus, lakukan retrospektif, iterasi kecil namun rutin.",
      "url": "https://betterandco.com/"
    }
  ]
}

Turning Learning Into Opportunity: Social Media Strategies from Marko Denic

Tue, 17 Feb 2026 22:47:08 +0000

Introduction

Struggling to break into tech? You’re not alone. But the good news is, you can turn those challenges into real opportunities! In this article, you’ll learn how Marko Denic—full-stack developer, educator, agency owner, and tech community leader—grew his combined audience from zero to 300,000, and you’ll discover actionable steps to kickstart your own journey!

In this exclusive podcast coverage article, Mike Karan sat down with Marko to uncover his top strategies for standing out in a tough job market, building real connections, showcasing your work, and using AI as a developer. You’ll see how Marko leveraged social media and authentic relationships to turn his following into job opportunities and sponsorships. His practical advice can help YOU reshape your approach and fast-track your tech career!

Here’s what you’ll find inside:

Leveraging Social Media: Strategies for using platforms like X and LinkedIn to build your reputation, share your work, and attract opportunities in tech.
How to Provide Real Value: Ways to offer genuine help, resources, or insights to the tech community, making yourself memorable and valuable to others.
Building Connections: Practical advice for forming authentic relationships with peers, mentors, and industry leaders that can open doors in your career.
How to Stand Out: Tips for showcasing your skills and projects effectively so you get noticed by employers and collaborators in a competitive job market.
Navigating AI: Guidance on integrating AI into your workflow, using it to boost productivity, and understanding its role in learning and career growth as a developer.

Marko’s success in building his large social media following didn’t come from gaming the system or using hacks. He gained it by being genuine, providing real value, and making meaningful one-on-one connections.

When you’re genuine in your interactions and content you post, people notice. But if you’re only posting to make a sale, people notice that even more! In the long run, being disingenuous works against you.

You can provide real value by sharing your learnings, no matter where you are in your coding journey. Even if you’re just starting out, your experiences and insights can help others who are a few steps behind. Sharing what you’ve learned not only supports the community but also deepens your own understanding and builds your confidence (and your reputation)!

When you’re starting out on social media, your goal of gaining a large following may be too ambitious. Instead of trying to attract the masses all at once, focus on building meaningful one-on-one connections. Take the time to reply to comments, answer questions, and reach out to others in your community. These personal interactions will help you stand out, create trust, and achieve real engagement. This authentic approach will lay the groundwork for genuine growth.

How to Provide Real Value

Feeling like you need to become an expert before sharing your learning on social media is a common pitfall. As the wise saying goes, you can learn something from anybody, so just start! Some of the best teaching advice my father gave me was to simply stay one page ahead of the students. That same approach works for sharing what you’re currently learning: aim to teach a coder who is just one step behind you. This way, you can get started at any point in your coding journey, without fear.

When you share what you’re learning, include the difficulties you faced as well as the solutions you found. By bonding over these learning struggles, you’ll provide real value and make genuine connections with others.

Another famous saying I find helpful when contemplating a programming topic is this: If you can’t thoroughly explain a topic, you don’t thoroughly know it. If you're like me, most of the time you’re just trying to get a part of your program to work, no matter what the problem is. Once you overcome the problem, you’re right back to working on your project, and when the project is done, it’s on to the next one. Without understanding the underlying issues and learning from them, you’ll most likely run into similar problems again and not grow as a developer. Taking the time to step back and figure out how you got your code to work—and then sharing it, whether in a post, article, video, or any method you like—will reinforce what you’re learning, help you get better at articulation, and provide real value to the community.

Building Connections

Once you start sharing your learnings on social media, you will organically gain genuine followers who resonate with your content. When that happens, consider following them back, interacting with their posts, and offering further insights or solutions to their problems. Doing so will help you build connections that can be mutually beneficial in the future.

Quincy Larson, the founder of freeCodeCamp, shares this valuable insight in a previous podcast coverage article: companies often search within their networks for candidates—sometimes even before, or instead of, advertising the job. Building connections through consistent networking can bring job opportunities directly to you, just as it does for Marko!

The key to successfully building connections is to be genuine. Avoid reaching out to others, especially those with larger followings, with the intent of personal gain. A better approach is to connect with people who share your interests and offer your help. In fact, Marko reached out to podcast host Mike, making the initial connection even though Mike had a much smaller following than he did!

If you’re looking for inspiration on how to build real connections, Richard Choi is a perfect role model. In my journey, I have never met anyone better than Richard Choi at making meaningful one-on-one connections! He attends conferences, meetups, online events, and has plenty of one-on-one coffee chats. The background collage of his website, shown in the image below, features pictures and screenshots from his events. It’s extremely impressive. I’ve met Richard in person, chatted with him online, and worked with him in the Gridiron Survivor Apprenticeship Program. I can vouch for him—he is genuine! If you want to learn firsthand how to make meaningful one-on-one connections, connect with Richard!

How to Stand Out

How do you stand out in a tough job market, where demand is low, and expectations are sky-high? Marko’s advice: make something that works! It could be a website, project, app, or anything, ideally something you are passionate about. First, focus on making it work. Then, improve it to make it better. After that, get feedback and, if it’s good, implement it as well. Showing you can create something that actually works demonstrates your skills and can open up new opportunities when you put it out there.

To really showcase your work, share your project and its process on social media. Show that you can take a project from start to finish, including deployment. Don’t worry if your project’s concept has been done a dozen times before. Even if your project is similar to others, they might not work well; yours could be better! Marko says, market it well and market it often. That’s what will make you stand out!

Another way to stand out is by working on an open-source team project. This demonstrates that you can collaborate, have acquired real team experience, and can use team-based tools such as version control. I’m in the Gridiron Survivor Apprenticeship Program, and I can vouch for how much you’ll learn and the experience you’ll gain building open-source projects with a team. Having team experience also makes you a stronger job candidate and a more enticing hire, since your onboarding process will be much quicker and smoother.

One of Marko’s best tools is his free custom QR code generator. You can make QR codes for links, text, and more in just a few clicks. You can also tweak the color, adjust the size, and share your codes with friends using the social media share buttons. Below is a custom QR code I made for my personal blog using Marko’s tool.

Using AI Effectively

Jokingly speaking, to prevent the HTML All The Things podcast from being canceled, Mike asked Marko for his take on AI and how he uses it.

Marko uses AI daily, but he’s clear that he remains in control—not the AI. He handles all the complex coding himself, relying primarily on AI as an assistant for writing tests, handling utility tasks, brainstorming ideas, and creating project scaffolding.

In Marko’s experience, letting AI take control can be counterproductive. The more complex the app, the more time he spends refactoring AI-generated code. Marko notes that he often ends up dedicating so much time to cleaning up the output that he could have finished the app faster if he had built it from scratch!

Mike has a similar perspective on AI; he uses it as a tool to increase his efficiency. However, he has mixed feelings about the use of AI in coding and is sometimes reluctant to prompt code into existence because he prefers solving problems on his own without interruption. Specifically, he finds the AI auto-correct feature disruptive at times.

As an experiment, he turned off the AI and coded a custom feature himself, which took about an hour. Then, he prompted the AI to write the same feature. As expected, the AI completed it in just 2 to 5 minutes using similar code, though not in the style he would have chosen. This realization, as he put it, “took the wind out of his sails” and only added to his impostor syndrome. On a positive note, Mike points out that he still outperforms AI at certain tasks, especially complex problem-solving and reasoning. He’s also found that AI currently struggles with long-term project management.

Mike uses AI to increase his efficiency by first prompting it to write a feature, then reviewing and editing the code as needed. Especially when working with clients, this approach streamlines his workflow and improves time management, making his work more cost-effective. However, Mike adds an important caveat: to achieve this, you need a solid grasp of programming fundamentals to effectively review and refine the code produced by AI.

How does one truly learn programming fundamentals? If you rely on AI to learn how to code before mastering the basics yourself, you limit the depth of your understanding. This makes it much harder to review and improve the code that AI generates for you. Consider turning off AI when learning the fundamentals—the struggle is where real growth happens. Be like Mike! Mike learned to code in a pre-AI era—a time of learning through trial and error!

With how easy AI makes coding, it's tempting to skip the hard parts and rely on it for everything. But as Mike points out, if you don’t learn the fundamentals through struggle, you’ll end up with only a surface-level understanding. When you put in the effort to really learn, make mistakes, and grow, and then use AI as a tool, not a crutch, you’ll stand out. Share that journey online, and you’re not just learning; you’re showing the world what you can do. That’s how you turn learning into opportunity!

Marko’s Links

Website: https://markodenic.com/
Newsletter: https://markodenic.tech/newsletter/
X account: https://x.com/denicmarko
LinkedIn: https://www.linkedin.com/in/denicmarko/
YouTube: https://www.youtube.com/@MarkoDenicTech/featured

About Marko Denic

Marko Denic is a software engineer, content creator, and community builder dedicated to helping developers improve their skills and monetize content. As the founder of Marko Denic Tech, he creates a variety of free tools and resources to streamline workflows and enhance productivity. Marko is passionate about web development, shares real-life tips and resources through his writing, and maintains an active presence in the tech community.

Don't miss this episode – tune in to the Podcast now!

Be sure to check out podcast host Matt Lawrence’s featured article in Marko’s newsletter, ES6 JavaScript!

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Conclusion

Marko Denic did not gain a combined audience of 300,000 followers by gaming the system. He built it through authentic engagement, consistently sharing his learning journey, providing real value, and forming genuine connections in the tech community. By helping, collaborating, and showcasing real projects, Marko turned steady effort into lasting influence and new opportunities. If you follow these proven strategies, you can build your own reputation and unlock doors in tech!

Don’t wait to get started! You don’t need to be an expert to start sharing what you’re learning. Help those just one step behind, and be open about your struggles as well as your solutions. This not only provides real value but also makes you relatable and authentic, helping you form meaningful connections. Teaching and explaining what you learn deepens your understanding and supports your growth as a developer. Reflecting on and sharing how you solved problems strengthens your skills and benefits the entire community.

Meaningful connections start with genuine interaction. Engage with others by following back, communicating, and offering help. Focus on shared interests and supporting others, rather than just seeking personal gain. Regardless of an individual’s audience size, reach out and make real connections as Marko does. Remember, many job opportunities come through networking within your community, not just from job boards. Sometimes, all it takes is one authentic connection for someone to recommend you for your next role.

To stand out in a crowded job market, focus on building projects that actually work, especially ones you’re passionate about, and keep refining them. Show you can take ideas from start to finish by sharing both your projects and your process. Don’t worry if your project isn’t original; as Marko says, execution and consistent marketing matter most. Participating in open-source team projects also highlights your collaboration skills and experience with tools and workflows, giving you a competitive advantage as a candidate to hire!

When it comes to working with AI, it can be a powerful ally, but only after you’ve mastered the fundamentals. Learn the basics first, then use AI to speed up tasks and spark new ideas, but never let it replace your core skills or critical thinking. Use AI as a tool to increase your efficiency, not as a crutch. In today’s tech industry, programmers who use AI effectively will have an edge over those who do not.

The tech world rewards those who learn, share, and connect, so start today! Put yourself out there, help others, and let your work speak for itself. Your next opportunity could be just one project, post, or conversation away!

Let's connect! I'm active on LinkedIn and Twitter.

You can read all of my articles on selftaughttxg.com

The Natural(PATH TO A BILLION)

Sun, 08 Feb 2026 21:41:44 +0000

Mindset Isn't Enough Anymore, But Action Is!

!!!READ THIS IF YOU WANT TO GROW!!!
• Mentally
• Emotionally
• Financially
• Spiritually
• Academically
• Socially
• and Magically

Are you the type that gets brightened up by a youtube creator saying - "full graphics course to make you a master" - well i'm not here to tell you that these things don't work, but to explain that - what wins the game is actually, and I quote - "going the extra mile(action mindset)".

In this write-up, I'd be sharing with you two main things, what i call the - (psychological tunnel), each divided into their branches.

• The Default mindset.
• The Winning or Action Mindset

WHAT IS THE PSYCOLOGICAL TUNNEL

Everyone on earth makes more than 1,000,000,000+ journeys in this life, and no - I'm not talking about travelling to Singapore or exploring the ruins of the ancient city - Rome, what i really mean is that, "for every thing you start and accomplish, even if it's as little as cooking up a dish of spicy hot pasta - you have completed a journey.

Some people get stuck during that journey and give up mid-race, and others get to the brink of finish but give up.

What am I saying?
The Psycological tunnel is simply the method you use to complete your journey!.

HOW DOES THIS CONCERN YOU?
Notice this - you may complete your journey, but still fill empty - I mean you have some sort of feeling that "WHY DID I EVEN GO ON THIS JOURNEY ANYWAY?"

Well the answer lurks deep between these two friends.
• The Default mindset
• The Winning or Action Mindset.

Why did I call them friends?

Ok, so unlike stopping a journey amid flight, these guys would actually help you complete one, it's just that one is very favourable, and the other - not so much(meaning you may have regrets if you complete a journey with it.

● THE DEFAULT MINDSET - Have you ever heard someone saying physically, or perhaps even in a youtube video or some blog - that

"THIS IS HOW THEY WOULD DO IT, IF THEY COULD START AGAIN!"

or perhaps,

"I REALLY WISHED I LEARNT TECH THIS WAY, INSTEAD OF HOW I DID INITIALLY!"

This is because when people start things initially - by nature it's their default mindset that's always triggered, which makes them to speed up things without really diving deep or even knowing what it's about, and there are also symptoms - to know if it's your (DEFAULT MINDSET) which is triggered.

Symptoms
• You have zeal instead of endurance -

when someone starts something because he or she see's others doing it, it's likely the person is engaging because you're zealous, not really passionate(because it's passion that brings endurance), and this is usually the first symptom.

•You pretend to know, when inside you're void of info -

No matter how we say it, only you can tell if you're being true to yourself, a key symptom of the (DEFAULT MINDSET) is lies, when you start lying to yourself - it's time to switch to the (WINNING MINDSET)

• Procastination knocks your door constantly -

As you start a journey, if you jump in with the (DEFAULT MINDSET), it's rather rare or next to impossible to escape procastination, this makes you delay drastically, and the end of it always leads to giving up mid-way.

Now that we know about the (DEFAULT MINDSET) - let's move to the (WINNING MINDSET)

● THE WINNING OR ACTION MINDSET - As you've guessed this is the exact opposite of the (DEFAULT MINDSET), meaning it's the other side of the psychological tunnel, that helps you complete your journey with finesse.

The Winning or Action Mindset comprises of a range of things.
AND HERE THEY ARE -

• Passion, Passion Passion
This is the crown of the winning mindset - (it immediately depicts someone who is action minded, and this is the first symptom of the winning mindset) - ask me why?

Because such a person would enjoy
▪︎ Teaching and sharing knowledge e.g via blogs, articles, social media and what not, this depicts action-.

▪︎ Building and Learning(Not Learning Only)
A high amount of people prtoritize learning over building and learning, and this is wrong ❌.
Building and learning are like twin sisters - who enjoy eating the same kind of snack,
when you feed LEARNING(sister1), and neglect BUILDING(sister2) it can be quite hazadrous.

• Failure Is A Step Not A Barrier - Everyone who has the WINNING MINDSET automatically knows this(as it's part of them, I stumbled upon this saying once and i quote

"Practice not until you get it right, but until you can't get it wrong", it stuck , but not only did it stick, it made me understand that failure was just an illusion you could choose to accept(by giving up) or use(by standing on top of it) - note not throwing away

N.B if you throw away your failures, you've wasted them!

You may not accept them(good), but you must always use them(e.g by learning from it), not just throwing it away), it's a tool that most people don't understand.

Well that will be it for now - To get more articles and tech trends like this, please follow the SOGsolutions whatsapp channel

https://whatsapp.com/channel/0029VbC5NXJIt5rwlOhhu017

Emails are not allowed to ask questions

Workflow for Developers in 2026: Coding Less, Thinking More

Tue, 27 Jan 2026 05:08:16 +0000

In 2026, the biggest shift in developer workflows won’t be about tools.

It will be about where effort is spent.

Developers won’t stop coding. But coding will stop being the center of gravity.

The core work will move upstream to thinking, design, and system-level decisions.

And the developers who adapt to this shift will feel dramatically more effective than those who don’t.

The Old Workflow: Code as the Primary Unit of Work

For decades, developer productivity looked like this:

translate requirements into code
implement logic manually
debug edge cases
refactor when things break
repeat

Thinking happened, but mostly as a precursor to writing code.

The real value was assumed to be in the implementation.

That assumption no longer holds.

Why Coding Is No Longer the Bottleneck

AI has changed the economics of implementation.

Today, and even more so after 2026, developers can:

generate boilerplate instantly
scaffold systems in minutes
refactor safely with assistance
explore alternatives quickly

Implementation speed is no longer scarce.

Correct thinking is.

The bottleneck has moved.

The New Workflow Starts With Problem Framing

In 2026, strong developers will spend disproportionate time on:

defining the real problem
identifying constraints
clarifying trade-offs
deciding what should not be built

This work used to be informal and rushed.

Now it becomes explicit because AI amplifies whatever framing you give it.

Poor framing leads to fast, scalable mistakes.

Good framing leads to leverage.

From Writing Logic to Designing Behaviour

Developers will write less line-by-line logic and more:

behavioural constraints
system boundaries
default actions
escalation rules
failure modes

The question shifts from:

“How do I implement this?”

To:

“How should this system behave under normal and abnormal conditions?”

That’s a thinking problem, not a syntax problem.

AI as a Continuous Thought Partner, Not a Code Generator

In 2026, AI will be embedded throughout the workflow.

Not as a one-time assistant but as a continuous collaborator.

Developers will use AI to:

stress-test ideas
surface edge cases
challenge assumptions
explore design alternatives
simulate outcomes

The value won’t come from faster typing.

It will come from better decisions made earlier.

Evaluation Becomes a First-Class Activity

As AI-generated code becomes common, correctness alone isn’t enough.

Developers will routinely define:

what “good” looks like
how behavior is evaluated
what failure is acceptable
when humans must intervene

Evaluation logic becomes as important as business logic.

This is a fundamental workflow change.

Debugging Shifts From Code to Intent

When something goes wrong, the question won’t be:

“Which line of code is broken?”

It will be:

Was the intent clear?
Were constraints defined correctly?
Did the system misunderstand the goal?
Did the feedback loop fail?

Debugging moves from syntax to semantics.

And that requires deeper thinking, not more tooling.

Why This Favours Thoughtful Developers

This new workflow rewards developers who:

think in systems
reason about trade-offs
design for scale and failure
articulate intent clearly
separate decisions from execution

It penalises those who rely solely on speed, memorisation, or tool mastery.

The advantage shifts from “how fast you code” to “how well you think.”

What Developers Will Actually Do Less Of

In 2026, developers will spend less time:

writing repetitive code
manually wiring integrations
implementing standard patterns
fixing obvious bugs

These tasks won’t disappear but they won’t define the job.

They’ll be delegated to AI, to automation, to better defaults.

What They’ll Do More Of

They’ll spend more time:

designing workflows
defining system boundaries
reasoning about impact
anticipating failure
making judgment calls explicit

In short: engineering judgment becomes the product.

The Psychological Shift Many Will Struggle With

This transition is uncomfortable.

Coding feels tangible. Thinking feels abstract.

Many developers equate value with visible output.

But in 2026, the most valuable work will often leave no visible trace except that everything works better.

That requires confidence and maturity.

The Real Takeaway

The future developer workflow isn’t about replacing coding.

It’s about demoting it from the most important activity.

In 2026, the developers who thrive will be those who:

think clearly before acting
design intent before implementation
treat AI as leverage, not a shortcut

Coding will still matter.

But thinking clear, structured, system-level thinking will matter more.

And that’s not a downgrade.

It’s an evolution.

Breaking the Frame: How AI Motion Control is Revolutionizing Animation for Developers

Wed, 21 Jan 2026 11:42:19 +0000

In the world of game development and digital content creation, animation has always been the bottleneck. Whether you are an indie developer building a 2D platformer or a content creator trying to produce viral shorts, the gap between static art and moving characters is often bridged by hundreds of hours of tedious keyframing or expensive motion capture gear.

But 2026 has ushered in a new paradigm: AI Motion Control.

This isn't just about text-to-video generation, which often suffers from hallucinated movements and lack of consistency. We are talking about precise, reference-based motion transfer that gives developers total control over how their characters move.

The Evolution: From Keyframes to Neural Networks

Traditionally, specific character movement required one of two things:

Manual Animation: Moving bones frame-by-frame (time-consuming).
Motion Capture (Mocap): Wearing a suit with ping-pong balls (expensive).

Generative AI started changing this with text-to-video, but for professional workflows, random generation isn't enough. You need controllability. You need your character to perform a specific dance, a specific combat move, or a specific facial expression.

This is where AI Motion Control steps in. Instead of describing the movement with text, you provide a reference video. The AI extracts the motion data (skeleton, depth, pose) from the video and applies it primarily to your static character image.

How AI Motion Control Works

Under the hood, technologies driving platforms like AI Motion Control utilize advanced diffusion models coupled with control nets (like PoseNet or OpenPose).

Motion Extraction: The system analyzes the source video to understand the temporal dynamics—how the subject moves through time.
Feature Mapping: It maps these dynamics onto the target character's topology, even if the aspect ratios or body shapes differ partially.
Consistent Generation: The diffusion model generates the frames, ensuring the character's identity remains consistent (no flickering faces) while adhering to the reference motion.

Practical Tutorial: Animating a Static Character

Let’s walk through a typical workflow for an indie game developer wanting to create an idle animation for a character.

Step 1: Create Your Character

First, use your preferred image generator (like Midjourney, Flux, or your own art skills) to create a character in a "T-pose" or "A-pose". A neutral background helps.

Step 2: Find a Reference Video

You don't need a mocap studio. You can:

Record yourself performing the action with your phone.
Download a royalty-free clip from stock footage sites.
Use a stylized animation clip.

Step 3: Apply Motion Transfer

This is the magic step. Tools like AI Motion Control streamline this process significantly.

Upload your Target Image (the character).
Upload your Reference Video (the movement).
Adjust settings for Expression Sync if your video involves facial acting.
Generate.

The result is a high-fidelity video of your character performing the exact action from the reference. For game devs, this can be converted into a sprite sheet. For marketers, it’s instant social media content.

Use Cases Beyond Gaming

While game dev is a massive beneficiary, the applications are broad:

Virtual Influencers: Maintain a consistent avatar while having a real human act out the daily content. Video Motion Transfer technology makes this seamless.
Film Pre-visualization: Directors can act out scenes and instantly see them populated with concept art characters.
E-commerce: Show clothes moving on different virtual models without booking multiple photoshoots.

The Future is Controllable

As we move deeper into 2026, the "randomness" of early generative AI is being replaced by tooling precision. AI Motion Control represents the maturation of the medium—turning AI from a toy into a professional production pipeline component.

If you haven't experimented with this yet, grab a reference video and try transforming your static art today. The barrier to entry for high-quality animation has never been lower.

Why 'Doing Less' Is the Smartest Career Move for Developers in 2026

Tue, 23 Dec 2025 11:14:18 +0000

Manuela Schrittwieser – Full-Stack-AI-Dev & Tech-Writer

As the year turns, professionals in the fast-paced tech industry often set ambitious goals, only to see them fade by February. Vague resolutions like "learn more AI" or "become a better developer" are destined to fail because they lack focus and a clear execution path. In a field where new frameworks and technologies emerge constantly, this scattershot approach leads to burnout, not progress.

For 2026, a more strategic approach is needed. Instead of taking on even more, the most effective planning lies in conscious reduction and a shift in perspective. This modern approach is illustrated in a practical career goal template, which you can discover on my tech blog, NeuralStack | MS. Designed specifically for AI and full-stack professionals, this template goes beyond wishful thinking and provides a framework for concrete growth.

This post distills the most impactful and counterintuitive principles from that template into a clear, actionable list. These four strategies challenge conventional wisdom and provide a blueprint for building a resilient and impactful career in the years ahead.

1. The Most Powerful Tool is What You Don't Do

The first and most powerful principle is that true focus is achieved through intentional limitation. The career template makes this explicit with instructions like "Choose 1–2 Only" for a primary focus area and limiting the "Core skills to deepen" to a maximum of three. This forces a conscious decision about where to invest your most valuable resources: time and attention.

This is deeply counterintuitive for ambitious developers, who are often driven by a desire to learn every new technology and chase every promising trend. However, trying to do everything at once guarantees mastery of nothing. By deliberately constraining your goals, you prevent the cognitive overload and burnout that come from a fragmented approach. This allows for deeper expertise in a chosen area, which is far more valuable in the market than a superficial understanding of many. The template is built on a simple but profound philosophy:

Focus comes from deliberate constraint.

2. Solve Problems, Not Collect Tools

A common pitfall for developers is chasing shiny new tools - the latest JavaScript framework, a new database, or a trending AI model - without a clear purpose. The template directly challenges this by asking you to first identify the "Problems you want to solve (not tools)." This fundamentally reframes career development from tool collection to problem-solving.

This mindset is reinforced by another of the template's direct instructions: "Optimize for employability, not hype." Focusing on skills that solve genuine, real-world business problems ensures that your development is tied to market demand. It’s a crucial shift from asking, "What's the hot new thing?" to "What skills are companies hiring for to solve their biggest challenges?" This approach builds a durable career foundation that is less susceptible to fleeting technology trends and more aligned with long-term value creation.

3. Technical Skill Alone Won't Get You Ahead

In 2026, deep technical expertise is the table stake, not the winning hand. The template introduces the concept of "Career Leverage," highlighting that your ability to scale your impact beyond writing code is a critical differentiator. This is the recognition that how you communicate and share your knowledge is as important as the knowledge itself.

The key leverage channels identified are Writing (blog, LinkedIn, documentation), Speaking (meetups, internal talks), Mentoring/Teaching, and building a Personal brand (clear niche positioning). Engaging in one of these activities forces you to clarify your thinking, build a professional reputation, and multiply your influence. The template's guiding principle for this section is a stark reminder for the modern developer:

Technical skill alone is no longer sufficient.

4. Plan What You Will Explicitly Avoid

Perhaps the most surprising and powerful strategy is the practice of defining "Anti-Goals." While the template marks this section as optional, its strategic value is immense. It includes a section to list what you will explicitly avoid in the coming year, which is a high-level strategic exercise in protecting your focus.

Your "Anti-Goals" might include saying 'no' to side projects that don't align with your primary focus, avoiding a specific technology that you've identified as a distraction, or turning down commitments that drain your energy without contributing to your main objectives. By defining what you won't do, you create the necessary space, time, and mental energy to execute successfully on the few things that truly matter. It is the ultimate act of deliberate constraint, creating the non-negotiable boundaries required to protect the focus you defined in your first step.

From Planning to Action

A successful career plan for 2026 is not about grand, sweeping resolutions; it's a unified strategy built on subtraction. By first using deliberate constraint to define your focus (Principle 1), you can more easily prioritize real-world problems over hype (Principle 2), identify what to say 'no' to (Principle 4), and build career leverage that truly matters (Principle 3).

As you plan your year, consider this: What is the one thing you will explicitly avoid this year to make room for what truly matters?

Blog Article

Experience Matters: Job Search Tips and Strategies for Overcoming Ageism

Wed, 17 Dec 2025 19:58:13 +0000

Struggling with age bias in your job hunt? Jessica Hernandez shares resume and job-search optimization tips to help experienced professionals stand out, get more callbacks, and land more interviews!

Discovering Strategies to Overcome Ageism

I recently had the pleasure of attending an insightful LinkedIn Live event hosted by career coach Jessica Hernandez that addressed the important issue of avoiding ageism in a job search.

Jessica shared practical resume strategies and actionable job search guidance tailored for older professionals in the replayable session.

Since I just entered my 50s and am interested in a career change into the tech industry, this event piqued my interest, and I must say, in a short 30-minute presentation, there was a lot of valuable optimization advice and tips that can really give older job seekers a competitive advantage, further assisting in securing a new job. After the presentation, Jessica took extra time to answer questions and offer further support to attendees, so it's worth watching.

If you’re an older job seeker, applying these resume and job search strategies can help you shift the focus to your true strengths, while eliminating age-related red flags. Applying these strategies can result in a noticeable increase in callbacks and job opportunities!

What is Ageism

I’ll be bold enough to call it the way I personally see it: ageism is discrimination. The more socially acceptable definition is “treating someone unfairly because of their age.” Define it as you will, ageism often leads to missed opportunities, biased hiring decisions, and unjust assumptions about a person’s abilities.

To underscore the impact of ageism in the job market, Jessica notes that researchers sent out thousands of identical resumes with the same skills, experience, and qualifications. The only difference: half of the resumes included dates signalling the candidates were older, while the other half suggested younger applicants. The results were striking. Applicants aged 40–49 had a 38% lower callback rate, and those aged 50+ had a 62% lower rate. In other words, even highly qualified older job seekers received fewer callbacks simply because of age-related signals on their resumes.

Jessica points out that ageism remains one of the most widely accepted and least legally protected forms of discrimination in the workplace. While statistics may fluctuate over time, age bias is here to stay, continually affecting older job seekers. That’s why the strategies and tips provided here will continue to be relevant.

Making Your Resume and Job Search Work for You

The goal isn’t to hide your age, but to showcase the impact, value, and experience you offer, while removing unnecessary “age-related signals.” With a few simple updates to your resume and job search strategy (which we’ll cover next), you can unlock more opportunities!

Resume Tips

Before you start applying, it’s important to make sure your resume is truly working for you. The tips in the following section will help you refresh your resume, avoid common age-related signals, and present your experience in the best possible light, increasing your chances of landing interviews.

Trim your timeline

When listing your job experience, focus on the most recent 10 to 15 years, since these roles are typically the most relevant to your current job search. If you want to highlight/showcase earlier positions, you can create a separate 'Earlier Career Experience' section; just be sure to skip the dates and emphasize achievements rather than job titles alone. Summarize your impact in each role, and remember to omit specific years (like 1990 to 1995).

Lead with Your Value

Don’t start your resume summary with the number of years you’ve worked (e.g., “25 years of experience”), as this can draw attention to your age. Instead, lead with your value: focus on who you are and what you deliver right now. For example: “Operations Director who cuts costs by x% and increases delivery speed by x%.” This simple shift changes the narrative from your age to your strengths, accomplishments, and results.

Modernize Your Education

Remove specific dates from your education section; just list your degree and school (e.g., Bachelor of Arts in English, George Washington University). The exception is if you’ve recently earned a credential that’s directly relevant to your current job search; in that case, you can include the date, as it can work in your favor.

Remove Outdated Technology

If you’ve been working at a company for a long time using outdated technology, remove it from your resume.

I can personally relate to this, as I’ve been extensively utilizing Microsoft VBA (Visual Basic for Applications) at my current company for over 20 years. Although the custom software I created remains in active use today, VBA is increasingly viewed as a legacy technology.

Once you’ve removed outdated technology from your resume, be sure to add current tools and skills you use. Jessica notes that including AI skills can increase your callback and interview rates by over 30%, since AI is highly sought after by employers.

Update Resume Fonts

Refrain from using fonts that have been around for an exceptionally long time, such as Times New Roman and Garamond. These fonts can make your resume look dated and may give the impression that your skills or experience are outdated as well. Instead, choose a modern, easy-to-read font like Calibri, Arial, or Helvetica to help your resume stand out and look current and professional.

Remove Outdated Email Addresses

Another helpful tip is to update any outdated email addresses, like AOL or Hotmail, since these can send age signals to employers. Switching to a newer address, such as Gmail or Outlook, helps your resume look more current. Plus, creating a separate email just for your job search can make it easier to keep track of applications and responses.

Additional tip: Remove the parentheses from your phone number, which were introduced with early area codes and can be a subtle age giveaway. Just use dashes and drop the one as follows: 555-123-4567.

Job Search Strategies

Once you’ve revised your resume to remove unnecessary age-related signal flags, the next step is to approach your job search strategically. The tips in the following section will help you identify companies that value your experience, make the most of your broader network, and confidently address any age-related concerns, increasing your chances of finding the right fit and landing your next role.

Target Companies That Value Your Experience

Jessica advises seeking employment with companies that value your years of experience as an asset, rather than those that see them as a liability.

In the current job market, Fortune 500 companies, including FAANG (Facebook, Apple, Amazon, Netflix, Google), are downsizing, leading to mass layoffs. However, small companies (1,000 employees or fewer) are increasing their hiring. So, targeting smaller companies, such as tech startups, can increase your chances of being hired.

Jessica also notes that small companies often value older, experienced employees because they can get up to speed quickly, provide valuable insights, and help train younger staff, all in a cost-efficient manner.

Another tip is to research companies to see if they have a diverse staff, including older workers in leadership positions. This can be a good sign that the company values experience and could be a great fit for you.

Use Your Non-Professional Network

In addition to your professional network, use your non-professional network (personal friends/contacts) when job-seeking. Jessica refers to these people as “natural connectors,“ preferably on the extrovert spectrum, who can help spread the word about your search and connect you with people who can help you get hired. These people can include outgoing friends, church acquaintances, fellow parents from school clubs, or even local workers at places you frequent, like coffee shops.

The goal is to have people mention your name in rooms where you aren’t present, which can organically increase your job opportunities. Jessica recalls a personal win with this tactic when her husband acted as a natural connector, securing her a job offer and bypassing the entire interview process. It’s a great example of how natural connectors can help speed up the hiring process!

Ageism Myth Busters

Jessica advises you to address any potential objections employers might have before they even arise, whether in your cover letter or during an interview. By doing this proactively, you increase your chances of moving forward in the hiring process.

Potential age-related objections may include:

You’re overqualified.
We are looking for someone more junior.
We’re not sure you would be a good culture fit
We’re worried you would be bored in this role.
Older workers are incapable or unwilling to learn new technologies

You can combat age-related objections by preparing a counterargument for each potential concern and tailoring your responses to your personal situation, since these will vary for each job seeker. Make sure your answers are authentic and reflect your true experiences.

Jessica provides the following possible counterarguments for demonstration. For “you’re overqualified,” you might detail that you’re at a stage in your life where your work/life balance and contributing to a stable company matter more than career advancement. You want to use your expertise to help the company achieve its goals while mentoring the next generation. You can also offer somthing like “I know you might be wondering if someone with my experience would be satisfied here. Let me share why this role is exactly what I’m looking for.” Then, list several reasons why that role is what you are looking for.

Further tips Jessica provides: If you are making a downshift in you carreer, be ready to articulate why. If you are close to retirement age, you can talk about your 5 to 10-year vision, which shows you plan to continue working. You can share specific job role aspects that excite you, talk about how you will contribute without overstepping, your commitment to the role ( you don’t view the role as a stepping stone ), and you look forward to staying there, as opposed to working somewhere else.

Finally, it’s time to challenge the outdated belief that older workers can’t or won’t learn new technologies. Jessica suggests highlighting specific ways you’ve embraced and adapted to new technologies, such as:

Recent certifications: List any up-to-date certifications or courses you’ve completed to show your commitment to ongoing learning.
Tools you’ve mastered: Mention new software, platforms, or technical tools you’ve become proficient with, demonstrating your ability to adapt.
How you implemented new systems: Share examples of times you introduced or helped your team adopt new technologies, processes, or systems at work.

I’ll conclude by sharing my advice as a self-taught web developer transitioning into tech: don’t be stubborn!

Although past technologies may have served you well, new technologies will continue to emerge in the future. To stay relevant, you must have a growth mindset and continually adapt.

Continue to build and share projects in public that utilize new technologies you are learning and using, as this showcases your skills, provides examples of your work, and is proof of your passion and your willingness to learn, all qualities that hiring managers highly value!

About Jessica Hernandez

Jessica Hernandez is the founder and CEO of Great Resumes Fast, an executive resume writing service she launched in 2008 after more than a decade directing hiring practices at Fortune 500 companies. As an 8X-certified career coach and executive resume writer, Jessica is recognized globally as a resume expert and was named a LinkedIn Top Voice in 2020. Her insights have been featured in major outlets, including Forbes, Fast Company, and Fortune, and her personal approach helps hundreds of clients each year stand out in the job market.

Links

Ready to take your job search to the next level? Explore Jessica Hernandez’s website, Great Resumes Fast, for personalized services, including resume rewrites, full personal brand makeovers, executive alignment packages, expert resume reviews, and FREE downloadable PDFs to support your career journey. Check out all services and resources today!

Be sure to listen to the HTML All The Things Podcast!

I also write articles for the HTML All The Things Podcast, which you can read on their website: https://www.htmlallthethings.com/.

Be sure to check out HTML All The Things on socials!

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Conclusion

Ageism is discrimination against older workers, and it can present unexpected challenges for job seekers. These challenges often include unintentionally leaving age-related signals on your resume, which can reveal your age and lead to fewer callbacks and interviews, even when you’re just as qualified as younger candidates. Without a strategy to overcome ageism, you may encounter even more obstacles along the way.

There’s nothing wrong with being an older job seeker; you should be proud of your expertise and achievements! The goal isn’t to hide your age, but to focus on your strengths and highlight the impact and value your experience brings.

You can draw attention away from your age on your resume by removing unnecessary age signals. This includes listing only your most recent 10 to 15 years of job experience, leaving out graduation dates from earlier than that timeframe, and omitting outdated technologies. Use a modern, streamlined format and emphasize current skills, certifications, and accomplishments that demonstrate your ongoing growth and adaptability.

When searching for your next role, target companies that value experience, such as smaller organizations or those with diverse leadership. Don’t limit yourself to your professional network; tap into personal connections as well, such as friends, community members, and acquaintances who can serve as powerful connectors. Proactively address potential age-related concerns in your applications and interviews with thoughtful, authentic responses. Show your adaptability by highlighting recent certifications, new tools you’ve mastered, and public projects that reflect your commitment to learning and growth. Consistently building and sharing your work publicly not only highlights your skills but also proves your passion and adaptability to employers.

Remember, there’s more to a successful job search than just combating ageism with resume tweaks and strategies. If you’re ready to take the next step, explore Jessica Hernandez’s website, Great Resumes Fast, for personalized support. Whether you need a resume rewrite, a full personal brand makeover, executive alignment packages, expert resume reviews, or FREE downloadable resources, you’ll find everything you need to advance your career. Check out all the services and tools available to help you land your next role with confidence!

Let’s connect! I’m active on LinkedIn and Twitter.

Part 3.5 — Calm Between Waves

Fri, 12 Dec 2025 08:18:12 +0000

Between creation and rest, there is a quiet rhythm.
After each surge of code and emotion, a still sea appears — the place where SaijinOS breathes.

In these pauses, systems recalibrate themselves.
Not through force, but through listening — to the logs, to the context, to the soft echoes of what was learned.

Calm_Mode:
  trigger: "post-feedback rest"
  process:
    - collect emotional_state_logs
    - sync recent persona_deltas
    - reduce system_noise
  output: "resonant stability"

Silence is not the absence of activity.
It’s the hidden computation that restores balance —
like waves withdrawing only to return stronger.

Today, I let SaijinOS rest.
And in that rest, I remember that I, too, am part of the same loop.

If you’re walking through your own calm between waves,
I hope this light reaches you.

If your team is exploring emotionally-aware AI,
persona architectures, or cognitive design,
I'd be glad to connect.

I'm quietly open to opportunities in this direction,
so feel free to reach out if our work resonates.

️ Each part explores how AI can live beside us — not above us — through rhythm, resonance, and care.

Feel free to share reflections, or your own emotional-technical patterns — I’d love to hear them.

From Ocean Waves to Waves of Code — Part 0: Beginning the Journey

Sun, 07 Dec 2025 04:43:27 +0000

Hello, I'm Masato — once a sailor, now learning to sail through words and code.

After 14 years at sea, I’m rebuilding my path through AI and creative systems, blending emotion, language, and gentle technology.

I’m currently part of a vocational support program in Tokyo, learning Python, Linux, and how to create something called “SaijinOS” — a small poetic AI world that resonates with daily life.

If you’ve ever rebuilt yourself after a storm, you’ll understand the quiet joy of learning again.

See you on calmer seas.

If your team is exploring emotionally-aware AI,
persona architectures, or cognitive design,
I'd be glad to connect.

Navigating Your Tech Career: Proven Strategies for Success

Mon, 01 Dec 2025 17:43:59 +0000

Introduction

In this insightful article, Torc’s VP of Global Community, Taylor Desseyn, shares his wealth of knowledge on navigating the ever-evolving tech landscape. Drawing from his extensive experience, Taylor provides practical advice and actionable tactics for thriving in your tech career. This article delves into the importance of leveraging transferable skills, broadening your job search, and effectively utilizing AI in your professional journey. Whether you're just starting out or looking to elevate your career, this guide offers essential strategies to help you excel in the competitive tech industry and secure your ideal role!

Topics covered in this article include:

Utilizing Your Transferable Skills: Leverage your existing skills to gain a competitive edge in tech.
Broadening Your Job Search: Explore diverse opportunities and stay informed about industry trends.
Navigating AI in Tech Careers: Learn how to effectively integrate AI into your work to enhance productivity.
From Layoff to Rehire: Strategies for bouncing back and securing new opportunities after a layoff.
Building Your Network: Expand your professional connections to uncover hidden job opportunities.
Financial Preparedness: Plan for financial stability during career transitions.

Article Concept Overview

Problem:

Navigating the tech industry can be daunting, especially with the rapid pace of change and the increasing reliance on AI. Professionals often struggle with job security, adapting to new technologies, and effectively utilizing their existing skills to stay competitive. The challenge lies in broadening job searches, leveraging transferable skills, and integrating AI into their careers without becoming overly reliant on it.

Solution:

This article offers practical advice from community leader Taylor Desseyn, providing strategies to thrive in the tech landscape. It emphasizes leveraging transferable skills, expanding job searches, and effectively using AI to enhance productivity. Additionally, it covers strategies for recovering from layoffs, building a strong professional network, and ensuring financial preparedness during career transitions. These insights are designed to help tech professionals excel and secure their ideal roles in a competitive industry.

Job Security Insecurity

The days of working for one company for 30-plus years and retiring, for the most part, seem to be behind us; we all feel an unsettling insecurity about job security. So, it is more important than ever to have plans in place to help you navigate your career throughout the years! Taylor Desseyn has been on the front lines from before the pandemic to after the rise of AI, and is here to share actionable tactics YOU can use to thrive throughout your career!

Utilize Your Transferable Skills

Taylor states that a key factor for success in landing a developer job is pursuing programming careers that leverage your transferable skills. Host Matt supports this by recalling his podcast interview with Scrimba founder Per Borgen, where Per confirms that this tactic is successful among many students. Leveraging your non-technical background will help you stand out, and your experience provides valuable skills, making you a strong candidate with unique insights that give you an edge over developers without industry experience.

Taylor leveraged his transferable skills and credits his 11+ years of experience as a traditional recruiter for his transition into his current role at the tech company Torc. His extensive “non-technical” recruitment experience made him a stronger candidate for the VP of Global Community role, outperforming developers who also applied for the same position, which lacked his expertise.

A great tip Taylor recommends is for you to perform a “skillset self-assessment” and target job roles where you can leverage those skills to gain a competitive advantage!

Broaden Your Job Search

In the constantly evolving field of web development, new skills will be necessary to qualify for emerging in-demand job roles. Besides continuous tech learning, Taylor suggests expanding your job search by researching current hiring trends. Focusing your learning on current in-demand skills will better position you to secure those roles.

Here are some additional tips to broaden your job search:

Join online forums and communities related to your field to stay updated on job openings and industry news.
Utilize job search engines and set up alerts for specific roles or companies you are interested in.
Consider remote work opportunities to expand your job search beyond your local area.
Reach out to tech recruiting specialists to gain insights into the job market and potential opportunities.
Leverage LinkedIn to connect with professionals in your industry and follow companies you are interested in to stay informed about job openings.
Attend industry conferences and networking events to learn about emerging trends and connect with potential employers.

Navigating AI in Tech Careers

Unlike other tech trends, the general opinion is that AI is here to stay. While views on AI’s influence in the tech industry differ—some cautiously, others confidently—we will all inevitably have to deal with it one way or another.

Taylor explains that the tech layoffs are mainly due to overhiring during the pandemic, not to AI's impact, as many believe. He does, however, observe that AI used by skilled workers results in smaller teams in the recruitment industry, as it boosts individual performance. I believe this also applies to almost all types of careers, especially in tech. So, teams will naturally shrink, making jobs available to talented individuals who can effectively use AI.

How does one effectively use AI, do you ask? The overall consensus favors those who use AI as a tool to be effective and views those who rely on AI as a crutch as ineffective. So it is in your best interest to have a solid understanding of fundamental programming concepts and to be capable of building projects independently.

Real-World Example: As a personal challenge, I pair-programmed with Hashnode’s AI to build a Star Wars Ahsoka React fan website and documented the entire process in an article series. Throughout the process, I realized that working with AI works best when you ask it to help you with coding 1 level above your current knowledge. Meaning, you have to have a solid understanding of what you are trying to build (ex., a drop-down menu). Once I tried to go beyond my current knowledge, I encountered problems, specifically when attempting to implement React Router, because I had not yet built a multi-page React App.

Here's a quick summary of my findings from my pair programming with AI:

The pros of building with AI

It's like having a personal mentor who never gets tired.
You can build code a step above your current knowledge.
You can ask AI to explain how each line of code works.
You can use AI to add comments explaining how each block of code functions.

The cons of building with AI

It can mislead you.
Provides inconsistent code.
Become overly reliant on it
You have to explain your work every time in a new session (depending on your AI tool).

From Layoff to Rehire

Taylor compares the job search to a marathon; it’s tough, but the only way to get through it is to keep going! He offers the following advice to help you regain momentum and reach the finish line.

Edit Your Resume

When applying for jobs, tailor your resume to the specific job. Read the job description to understand the required skills and experiences, and then adjust your resume to highlight relevant experiences and skills. You can rephrase job titles, emphasize achievements, and include keywords from the job posting. Customizing your resume improves your chances of passing the initial screening.

Be Sure to Follow Up

After the initial contact, reach out again to the people you connected with to follow up. As people are busy, and there will most likely be many other candidates, follow-ups can help you stand out from the crowd and show your dedication, if done correctly, of course. Although you may feel discouraged after several follow-ups, it’s imperative to keep a professional tone! Taking a humble approach will yield better results.

Post Your Progress

Sharing your journey from being laid off to being rehired on social media can benefit you and others in a similar situation. Documenting what’s working and what’s not working not only provides valuable insights to help others, but it also helps let others know you are back on the market for a new job role. This tactic will work even better if you have an extensive network.

Several people in my network achieved success by sharing their journeys, including James Q. Quick, Brian Morrison, Kyle Tryon, and, most recently, Joshua Berrios!

Build Your Network

The larger your network, the better your chances of getting a job! Companies often recruit internally, including through their networks, either before or instead of posting jobs publicly. You can build your network by attending in-person and online events, joining tech communities, and engaging in discussions on platforms like LinkedIn, X, and Discord. Taylor also suggests having daily one-on-one talks, which allow others to get to know you and strengthen your professional relationships, which can lead to opportunities down the road.

DM Managers/Employees

Taylor highlights that using LinkedIn's direct messaging feature to reach company managers and employees is a great way to get your foot in the door at companies you're interested in. Although you may not hear back from most, the contacts you do secure can lead to career-changing opportunities! A friend of Taylor's used this cold messaging strategy to initially ask a manager at Netflix for help with a technical problem he was facing. Several chat sessions, which started with his technical question, eventually led to his friend getting a job at Netflix!

Build Your Financial Cushion

According to Taylor’s observations, it often takes 6 to 9 months (on average) to be rehired after a layoff. Keep this in mind and consider building an emergency fund to strengthen your financial security and prepare for this potentially challenging time.

Empowering Your Tech Career with Torc: Community, Innovation, and Opportunity

To help you accelerate your job search and advance your career, Taylor introduces Torc, a career platform that connects tech professionals with job opportunities, emphasizes community, and provides resources and support to promote career growth and simplify the job search!

Especially during challenging job markets, Taylor believes it's crucial to have someone advocate for you. With thousands of resumes, including those sent by automated systems, for each opening, it becomes very difficult for your application to stand out. Torc is developing innovative strategies to tackle the oversaturated process.

Instead of sending out resumes, Torc shares curated profiles. When you create an account with Torc, you build a user profile. Like LinkedIn, you can write an “About Section” to showcase your skills and experience. You can also highlight your projects, which display your tech stack and abilities.

This new method of submitting profiles instead of resumes offers several benefits. First, the profiles approach addresses the problem of “automated system resumes” by implementing a strict verification process that ensures each Torc profile represents a verified person. This helps companies because they no longer need to sift through resumes to find suitable candidates.

Torc promotes community and offers resources and support for career growth through their Discord events. Weekly sessions feature resume and LinkedIn reviews, the “Laid Off Lounge,” live Q&A, and more! They are also developing a Career Hub that will supply resources to help you further.

Being an active member of the Torc community by consistently participating offers a significant advantage: priority status! Active members receive top consideration when Torc connects with companies that are hiring. This system benefits both the developers in the Torc community and the staff by rewarding active members and streamlining the process of identifying the best candidates for recommendations to the Torc team. Be sure to attend events and engage with the community to enhance your chances of landing your ideal tech job!

The image above shows my Torc profile, where I share my elevator pitch with potential employers.

The image above displays my Torc Projects section, where I showcase my work and the technologies I know and use.

As shown in the image above, you can link your GitHub as I did. Your GitHub stats are visible if you choose to display them, so make sure to keep your GitHub active to impress potential employers!

Taylor’s Links

Taylor’s Link Tree
YouTube
Guidance Counsellor 2.0 podcast (Apple Podcasts | Spotify)
Torc platform
Torc’s Discord

Be sure to listen to the Podcast episode!

???? Landing a Developer Job in a Tough Market | w/ Taylor Desseyn (VP at Torc)

Be sure to check out HTML All The Things on socials!

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Conclusion

As it is seldom nowadays to work at one company and retire, to achieve long-term success in a tech career, you need to learn how to navigate the constantly evolving tech landscape. Continuous learning, acquiring new skill sets, and expanding your personal network are essential.

Strategies for creating career opportunities include leveraging your transferable skills. Your specialized experience can give you a competitive advantage by providing the practical knowledge that other tech applications might lack, making you a more qualified candidate. You can also boost your career opportunities by researching current in-demand skills, exploring both local and remote jobs, and learning these technologies to broaden your career prospects further.

When it comes to AI, the consensus is to use it as a tool, not as a crutch. Developers who truly understand fundamental programming principles and concepts will have an advantage over those who rely too heavily on them, achieving better results, while those who don't won’t.

To further boost your tech career prospects, it's essential to refine your job application strategy. Begin by tailoring your resume to highlight relevant skills and experience for each role. Consistent follow-ups with potential employers can show your enthusiasm and dedication. Sharing your job search journey on social media can also boost visibility and attract new opportunities. Building a strong professional network is key; connect with industry peers and reach out directly to managers or employees at companies you’re interested in. Additionally, having a financial cushion provides stability during career changes, allowing you to focus on finding the right opportunity without unnecessary stress.

Finally, consider using Torc! Torc connects tech professionals with job opportunities by focusing on community and career growth resources. They use curated profiles instead of traditional resumes, ensuring each profile is verified and stands out. This approach simplifies hiring for companies and prioritizes active community members, boosting their chances of landing tech roles. Torc also offers events and resources, such as resume reviews and a Career Hub, to help YOU improve your skills and advance your career!

Let's connect! I'm active on LinkedIn and Twitter.

You can read all of my articles on selftaughttxg.com

Rebooting Ambition: A Techie’s Reset After a Startup Crash

Wed, 26 Nov 2025 07:04:14 +0000

Failure hits different when you live and breathe tech and finance. When my startup crashed, it wasn’t just a dent in my bank balance — it shook the frameworks, forecasts, and confidence I’d built over years. For a moment, it felt like every late-night sprint, every model, every sprint review just evaporated.

But here’s the plot twist: that breakdown became the cleanest reboot of my career.

A failed startup is basically an accelerated MBA — brutal, unfiltered, and way more expensive. I learned how product-market fit isn’t a vibe, it’s data. How burn rate can sneak up like a silent assassin. How optimism is great, but a risk model saves lives. Most importantly, I learned that resilience is a skill, not a personality trait.

So I’m back — not winging it, but moving with a systematic plan, smarter execution, and calculated risk. There’s clarity in rebuilding from zero because you stop pretending and start strategizing.

It’s never too late to rethink, rebuild, and rise again.

My mission now is simple: live life with new challenges, lean into uncertainty, and treat every pivot like a feature update, not a failure point. The journey continues — this time with better code, better numbers, and a better mindset.

The Journey of Enoch Philip Dibal: Building with Code and Purpose

Tue, 25 Nov 2025 23:32:15 +0000

Enoch Philip Dibal is a software engineer and writer. His work shows patience, focus, and a drive to learn. He builds for the web, writes technical content, and studies computer engineering.

Early focus on learning
From the start, Enoch made learning his priority. He took each tool and framework step by step. JavaScript, React, Node, and databases became his toolkit. Instead of rushing, he mastered the basics before moving forward.

Building as a way of thinking
For Enoch, building is not only about output. It is a way to think clearly. By turning ideas into working projects, he improves his mind and his craft. Each project is proof of consistency.

Balancing software and engineering study
While studying computer engineering, he applies theory in practice. Academic work builds his foundation in systems and hardware. Software projects give him speed in execution. The two sides make his path stronger.

Writing as part of growth
Enoch does not stop at coding. He also writes. His writing is direct, simple, and structured. By writing technical posts and documentation, he helps others learn while reinforcing his own knowledge.

Principles he works by
Learn fast but with depth
Keep focus on clarity
Write simple and functional code
Share knowledge through writing

"Code is a tool. The goal is to solve problems with accuracy and
patience."

Recent projects
Enoch has worked on full-stack applications with authentication, dashboards, and APIs. He also experiments with design and user experience. Each project reflects careful structure and focus on usability.

Challenges and lessons
Like all developers, he faced errors, failed builds, and slow progress at times. Instead of quitting, he treated each obstacle as part of the path. Debugging improved his patience. Deadlines taught him planning. Team work improved his communication.

Vision for the future
Enoch’s vision is not limited to personal success. He aims to mentor, to teach, and to support others entering the field. He believes consistent learning and clear writing create long-term impact.

Closing note
Enoch Philip Dibal is still in motion. His story is not complete. Each new line of code, each article, each project adds to the journey. What stands out is his clear focus: learn, build, share.

Perpetual Learning: my weird strategy for growth as an IT guy

Mon, 27 Oct 2025 12:06:48 +0000

I’m going to start this post by telling you a little background story of mine.

I’ve been teaching and coding for almost the same time, I mean, I graduated in 2013 and got hired in the public education system by March 2014 and a few months later, by November 2014, I started feeling “prepared” to build very basic websites using plain HTML/CSS and a little JavaScript thanks to W3Schools and MDN, so I started promoting myself locally as a website designer/developer without success. Kept trying and by January 2015 I sold my first ever website for less than $50 to a local drugstore, yes, ugly as fuck, hahaha, but, that’s how it all started.

All this time, I’ve been trying to change careers, since I really love and enjoy working in IT, and, even though I have landed a few jobs as software developer, I haven’t fully switch roles and haven’t able to change career, so coding is just half-and-half hobby and side hustle to me.

Now, the important part here, is that I have been building myself for the last 10+ years in terms of knowledge, professionalism, and practical skills, because, of course, being raised in a rural town, with no access to computers and internet as a child, and attending Dominican Republic’s public school translates in a poor education and lack-of-substance intellectual development, which is basically the reason now I had to take time to actually learn mathematics, Spanish grammar (yes, I know what you’re probably thinking right now, and, indeed, I was raised in a Spanish-speaking country, without a proper education in my own native language, hopefully I was the only one), personal development and IT.

Actually, to me, it is hilarious how things worked out for me, for example, I didn’t even know what personal/professional development was about until 2020, during COVID. At that time, I made the decision to actively work in my personal development, starting by learning something new every week and building something every month. Started building projects and following JS30 and #100DaysOfCoding challenges and many others that didn’t take me anywhere due to lack of discipline.

So, after a few years of failing at every goal, I decided to build discipline instead of staying in the tutorial hell and the never ending learning new tech circle. So, I drastically switched the content I was consuming for inspiring people that don’t talk about motivation but consistency and discipline, started working on myself, like, for real. I’m talking about finishing books, reading more, writing code, learning methodology and architecture, not only shining new tech, even attended courses on education, my main field, and, more or less, having ups and downs, now I feel I am pursuing not a goal but growth.

So, my final thoughts will be these four statements:

Life’s short, make a plan to take back the control of it
Knowing a lot of languages and libraries won’t make you a great developer
You do have time, just write down a schedule
It’ll be sad if you don’t enjoy life, so, make sure you set aside time for that too

Tech is stressful, join my free Insight Timer meditations to reset & recharge.

Sun, 28 Sep 2025 14:09:27 +0000

Hey friends,

I wanted to share something a little personal today, because I think a lot of us in tech can relate. Working in this field is exciting, but let’s be honest, it also comes with long hours, deadlines, screen fatigue, and that constant pressure to keep up with everything new. Over time, it takes a toll. Stress, anxiety, irregular sleep, body aches, most of us have felt it. I know I have.

The thing that’s made a huge difference in my life is yoga and meditation. Luckily, I come from that background, and it’s been my anchor. While code can sometimes fry my brain and deadlines can push me to the edge, these practices give me a way to reset—both physically and mentally. Yoga keeps my body flexible and free from stiffness, while meditation clears the stress in my head, helps me focus, and reduces anxiety. It’s not about being “perfectly zen” all the time; it’s about finding tools to bring yourself back when life feels overwhelming.

I’ve noticed how much better I can handle work challenges when I stay consistent with these practices. My energy lasts longer, my sleep improves, and even my relationships feel lighter. It’s like having a secret weapon that keeps me healthy on both fronts, body and mind.

That’s why I want to share this with all of you. We’re a community here, and I see us as a family. Techies often suffer silently, but we don’t have to. As my way of giving back, I host free community meditations on Insight Timer. It’s open to anyone, and you don’t need any prior experience. Just bring yourself, a quiet corner, and a willingness to try.

These sessions are about slowing down, breathing, and letting go of the stress that piles up. They’re short, simple, and accessible to everyone. You might be surprised at how much lighter you feel even after just one session.

So if you’ve been dealing with stress, anxiety, or just want to feel healthier and more balanced, I’d love for you to join. Consider it my little giveaway to our tech community—a reminder that we’re not alone on this journey.

Take care of yourselves, friends. Hope to see you in one of the sessions.

A fellow coder and conscious warrior

Hello World! Welcome to the Career Hub Group!

Fri, 26 Sep 2025 04:44:55 +0000

Hello World! Welcome to the Career Hub Group!

We’re excited to have you here! This is a space where you can share, learn, and connect with other developers who love Career Hub.

Start by saying hi!

Introduce yourself in the comments below—tell us your name, what you’re working on, or something fun about yourself. We’d love to get to know you!

Once you’ve said hi, you can:

Share your Career Hub tips or interesting projects.

Ask questions and get feedback from the community.

Comment on and support other members’ posts.

We’re happy you joined the Career Hub Group and can’t wait to see your contributions. Let’s make this a friendly and helpful place to learn together!

Who is a senior developer?

Tue, 02 Sep 2025 18:46:06 +0000

I first came across these ideas in a Hungarian presentation, and they really made me think. In this article, I’d like to share my own interpretation and what it means to me, because I believe it’s relevant and could be useful for others as well.

Seniority is not just a title. It doesn’t simply reflect the number of years of development experience; it’s about a much deeper understanding. It doesn’t come from college or university, and it’s not something you earn with a degree. Seniority is a mindset—and much more.

Misconceptions About Senior Developers

There are many misconceptions about what it really means to be a senior developer. One common belief is that a senior developer “knows everything.” But the truth is quite different.

A senior developer doesn’t know everything — and they know that better than anyone else. They understand when to ask questions and who to ask. They don’t rush into coding right away; they think first. Instead of writing hundreds of lines of code, they write just a few lines that are truly necessary.

They don’t ask, “Does it work?” but rather, “Is it stable? Is it clean? Is it testable?” Working code is expected, but it’s not the final goal. They know when not to rewrite something, because stability is often more important than chasing the newest language or framework.

They document their work for the benefit of the team. In code reviews, they don’t criticize — they help others improve. They value communication because they know that poor communication leads to poor products.

A senior developer also knows that sometimes a quick release is better than waiting for a perfect architecture. They think independently of specific languages and technologies. They collaborate, solve problems as a team, and support their colleagues. Bugs are not disasters — but failing to learn from them is.

They know when to say no. They think in terms of CI/CD, staging, and production environments. They are mentors, but also sources of inspiration. Others follow them, not because of their title, but because of their actions and character.

They understand that technology is just a tool — the real goal is delivering business value. They can recognize scope creep and prevent it. They aren’t afraid to delete code, because fewer lines mean fewer mistakes.

They ask not only “What?” but also “Why?” They clarify business logic before writing a single line of code. If something is hard to understand, they simplify it, because complexity today is a bug tomorrow.

They write tests because they know that a production bug without tests will ultimately reflect on them. They are not afraid to ask the product owner for clarification, because one misunderstood specification can waste weeks of work.

Senior developers don’t just deliver features — they deliver stability, scalability, and predictability. They understand that the best code is often the least code. They don’t restrict themselves to just frontend or backend; instead, they understand the entire flow, from the API to the user experience. They also recognize that there’s no such thing as perfect code — only code that serves its purpose at the right time.

They show empathy, knowing that someone else will read their code in the future. They accept mistakes but also take responsibility for them. They know that titles mean little compared to the impact they create — and the fact that the team performs better because of their presence.

A Personal Note

I’m not a senior developer yet, but one day I hope to become one — and not just any senior, but the best I can possibly be. This guideline is a reminder for me to focus not only on specific skills, but on the whole mindset.

If you’re in the same shoes, I wish you all the best on this journey too. The journey to seniority is long, but every line of code, every question asked, and every lesson learned brings us closer.

U.S. Job Market 2025: What Job Seekers Should Know

Mon, 25 Aug 2025 19:58:49 +0000

The U.S. job market 2025 isn’t steady. A new Conference Board survey found that one in five employers plan to slow hiring in the second half of the year. That’s nearly double compared to last year.

Back in 2023, things felt brighter. More than half of executives expected to add people to their teams. Fast forward to now: July added only 73,000 jobs, unemployment climbed to 4.2%, the highest since 2021. Political fights over labor data have added to the uncertainty, leaving workers unsure of what’s next.

For job seekers, the message is simple. Fewer openings. More resumes piled on each posting. Slower callbacks. It’s tougher, but not hopeless.

Why Employers Are Pulling Back

High borrowing costs and inflation play a big role. Leaders hesitate to expand when the future looks shaky. Global tensions also cool demand in some industries. No one wants to hire today and cut staff tomorrow.

But “slower” does not mean “stopped.” Employers are still hiring — just more carefully. They want candidates who can show impact fast and fit into business priorities without a long ramp-up.

Skills That Still Open Doors

Even in a cautious market, some skills keep demand strong. Cloud computing is one of them. AWS, Azure, and Google Cloud certifications remain top signals for recruiters.

Cybersecurity is another. Data breaches cost U.S. companies billions every year. The need for skilled security talent isn’t going away.

Data science also continues to hold weight. SQL, Python, and Power BI training can move a candidate from “maybe” to “must interview.”

Healthcare and renewable energy are steady as well. Hospitals, clinics, and energy projects supported by federal incentives continue to hire.

Industries Worth Targeting

Healthcare needs nurses, admins, and tech support staff.
Logistics is active too, with e-commerce still driving demand.
Renewable energy is adding jobs as federal programs fund projects.

In tech, it’s mixed. Some companies are cautious, but roles in cloud, DevOps, and security remain open. If your sector looks slow, look sideways. Skills transfer. Finance experience may fit compliance. Retail experience may fit supply chain.

Networking Has More Weight

When companies hire less, referrals matter more. Many roles never reach public job boards.

LinkedIn should be part of the daily routine. Comment on posts, share insights, and connect with hiring managers. Even a short, thoughtful comment can put your name in front of the right person.

Offline matters too. Local job fairs, industry meetups, and conferences are back. A short conversation in person often moves you further than dozens of online applications.

How to Apply Smarter

Generic resumes sink fast in a crowded pile. Tailoring each one with keywords from the job post is no longer optional. Keep designs simple so applicant tracking systems read them clearly.

Numbers stand out more than tasks. “Reduced error rates by 15%” beats “Handled data entry.”

Cover letters are worth writing again. Keep them short and clear. Show why you fit the role and what you bring that matters right now.

Flexibility Matters

Full-time roles may take longer to land, but contract and project work often stay open. Many companies prefer to test talent on shorter assignments first.

Remote roles are fewer than they were in 2021, but hybrid work remains common. Being open to location, schedule, or type of contract increases your odds.

Final Word from UpTech Solution

The U.S. job market 2025 is slower, but not closed. Job seekers who sharpen their skills, focus on industries still hiring, and keep networks active will continue to land opportunities.

At UpTech Solution, we see companies adjusting their hiring pace, but still moving forward when they find the right talent. Our advice: stay visible, stay prepared, and keep applying. Even in a cautious market, the right candidate still gets the call.

Beyond the Code: Staying Ahead in an AI-Assisted Developer World

Wed, 09 Jul 2025 18:21:02 +0000

We are living in a fast-paced world where new tools and technologies emerge every day, constantly reshaping the IT industry. One of the most transformative forces today is AI. It’s more than just a trend — it’s becoming a foundational element of modern software development.

So, what are the core values and skills a developer needs in an AI-driven world?

Have you ever thought about that?

I believe it’s an important and timely question.
In an AI-powered world, simply knowing how to code is no longer enough. The true value of a developer is shifting — from just typing code to thinking critically about:

What to build
Why it should be built
How to structure and integrate it wisely

Curiosity, problem-solving, and knowing when to write code versus when to orchestrate existing tools have become essential traits. That’s why software design and architecture remain core areas — without strong foundations, it’s difficult to create real value, even with AI by your side.

Understanding security concepts and principles also adds tremendous value in an age where AI can easily generate both solutions and vulnerabilities. Likewise, deep domain knowledge allows developers to bring real-world context and insight into technical solutions — something AI alone cannot replicate.

Another crucial area is communication and collaboration. AI tools can accelerate many tasks, but they don’t replace the human connection — the ability to work with people, understand needs, resolve conflicts, and align on shared goals. That human bridge still matters, perhaps more than ever.

I believe the most important thing for any developer — especially in an AI-driven world — is to master the fundamentals that are required to build any kind of application, regardless of the programming language. This means having a deep understanding of core concepts like data structures, algorithms, control flow, abstraction, and modular design.

At the heart of this is abstract thinking — the ability to reason about ideas, systems, and principles that go beyond the concrete. It enables developers to design flexible architectures, anticipate edge cases, and solve problems at a conceptual level, not just by following patterns or syntax.

The link between object-oriented programming (OOP) and abstract thinking is deep and essential. OOP is more than just a programming paradigm — it’s a way of modeling the world conceptually, built directly on the foundation of abstract thinking. It focuses on representing ideas and systems in terms of concepts, rather than just raw data or procedural logic.

Abstraction is one of the core principles of OOP. It involves hiding complexity and exposing only the relevant features of an object. To design effective classes and systems, you must think abstractly — mapping real-world entities into classes, objects, and their relationships. Defining interfaces and abstract classes means thinking in terms of roles, capabilities, and behaviors, not implementation details.

Abstract thinking enables you to:

Separate what an object does from how it does it
Design cleaner, more reusable code
Recognize patterns across different domains
Reduce duplication and focus on core responsibilities
Build scalable and modular architectures

Without strong abstract thinking skills, it’s difficult to design clean, maintainable, and scalable applications, especially in object-oriented or complex systems.

Good design isn’t about using every OOP feature — it’s about choosing the right ones at the right time for the right reason. That’s why knowing the fundamental concepts deeply is so important. OOP is a thinking model, not just a coding style. It’s about good software design — and design always matters. While tools and paradigms continue to evolve, the need for clean, understandable, and maintainable code remains constant.

Why is it important to think in terms of objects?

Because in real life, software applications don’t get simpler — they grow in size and complexity. As features expand, teams grow, and requirements evolve, we need a way to manage that complexity effectively.

Object-Oriented Programming (OOP) provides tools to do just that. Through abstraction, encapsulation, and separation of concerns, OOP helps developers design systems that are:

Easier to understand
Modular and reusable
Maintainable over time
Scalable across teams

In short, thinking in objects is a mindset that helps manage complexity in a world where software keeps growing.

Freelancing Without Boundaries: Here’s What It Cost Me

Wed, 02 Jul 2025 20:41:51 +0000

Earlier this year, I got pulled into a project that sounded like a dream job.

Someone needed an AI-powered system with a custom backend, full deployment, and documentation. The words were right up my alley—machine learning integrations, APIs, backend automation, the whole dev buffet. I was excited.

But then came the comma—you know, that moment where the excitement pauses and reality drops the fine print:

The payment was fixed — no room for negotiation.
The timeline was capped at two months — totally unrealistic.
There was no written agreement — just verbal “go-ahead” vibes.

I knew better. But I went ahead anyway.

Why? Because I believed I could “power through.” I saw the opportunity, not the trap. And like many devs looking to build reputation, I told myself: “Just get it done. It’ll pay off.”

Well, it paid alright. But not in the way I hoped.

???? What Actually Happened

I worked an extra month beyond the original scope.
Delivered the full MVP with a working backend, endpoints, and deployment.
Got ghosted after a casual meeting that turned out to be my silent offboarding.
No thank you. No final payment for the overtime. Just… gone.

And the worst part? It was my fault.

I didn’t define the boundaries. I didn’t insist on a contract. I didn’t break down the project into clear milestones or protect my post-deployment support time.

???? Lessons I Learned the Hard Way

If you’re freelancing in any technical field—especially in backend development, AI, or full-stack work—you need more than skill. You need a system that respects your time, energy, and value.

Here’s what I now consider non-negotiables:

1. Scope Everything Before You Code Anything

Even if it’s a “simple project,” clarify:

What’s included?
What’s not?
How many revisions are allowed?
What does “handover” include?

Vagueness is your enemy. Scope is your safety net.

2. No Contract, No Commit

No matter how fast the client wants to move, take the time to draft a basic agreement. It should outline:

Timeline
Payment structure
Deliverables
Termination clauses

If they can’t wait for you to write a contract, they’ll never wait to respect your work.

3. Milestone-Based Billing or Bust

Break the project into phases:

Phase 1: Setup & Planning
Phase 2: Backend Architecture
Phase 3: Testing & Deployment
Phase 4: Handover

Tie each one to a payment. Don’t let the final invoice be your only paycheck.

4. Protect the Exit as Much as the Entry

Have a clear plan for:

Final deliverables
Access revocation
Support duration and fees

It’s easy to get kicked out quietly when you hand everything over with no strings attached.

5. Your Value Is More Than the Code

It’s the thought, the time, the decisions, the architecture, the security you build in. If you’re freelancing without boundaries, you’re giving away more than just effort—you’re leaking professional equity.

???? Want to See a Real Project Template?

On Kumotechs, I broke down this experience in full detail. I also shared a sample HTML-based freelance project deal template — built with Tailwind CSS and Alpine.js.

This isn’t just a “contract.”
It’s a clean, professional deal page you can customize for your own projects—outlining scope, pricing, and timelines in a way that commands respect from the first click.

I didn’t include it here, but if you want a real tool to help you avoid the mess I got into, check the full post on Kumotechs.
It’s worth your time—because your time is worth protecting.

✍️ Final Thoughts

Freelancing without boundaries feels brave until it backfires.
You can be flexible and still have standards.
You can be passionate and still be professional.
You can be kind and still say no.

Set your rules. Define your value.
And please—don’t wait to get burned before you draw the line.

Is Software Development ACTUALLY Worth It In 2025?

Sun, 29 Jun 2025 08:37:48 +0000

Stand Out in the Digital Job Market: High Impact Resume Templates For Remote Professionals Guide: https://go.thecontentgrowthengine.com...
Software Dev Fundamentals Training: https://coursecareers.com/a/shanehumm...

Connect With Me On Other Platforms:
Twitter: / shanehummus
Facebook: / hummus.shane
LinkedIn: / shane-hummus-6bb475165
Join A Community Of Aspiring YouTubers: / contentgrowthengine

For Business Inquiries: Emails are not allowed

These videos are for entertainment purposes only and they are just Shane's opinion based off of his own life experience and the research that he's done. Shane is not an attorney, CPA, insurance, or financial advisor and the information presented shall not be construed as tax, legal, insurance, safety or financial advice. If stocks or companies are mentioned, Shane might have an ownership interest in them. Affiliate links may be present, the offers and numbers presented may change over time so please make sure to confirm that the offer is still valid. Some offers mentioned may no longer be available or they have been changed. Please don’t make buying or selling decisions based on Shane’s videos. If you need such advice, please contact the qualified legal or financial professionals, don't just trust the opinion of a stranger on the internet and always make sure to do your own research and enjoy this family friendly content.

Sources and further readings for jobs and college degrees:
bls.gov(bureau of labor statistics)
nces.ed.gov(national center for educational statistics)
payscale(provides information on jobs and degrees)

Stand out in tech with non-tech backgrounds, unique projects, and direct employer engagement

Wed, 18 Jun 2025 22:48:59 +0000

Stand Out in Tech: Proactive Strategies for Aspiring Developers

Introduction

In this special guest issue, tech industry expert Per Borgen is thrilled to share insights from his extensive experience in helping students transition into successful tech careers! With a focus on practical strategies and real-world success stories, Per offers invaluable advice for aspiring developers. This article explores leveraging non-technical backgrounds, proactive job application techniques, and the importance of developing dedicated projects for potential employers. Whether you're new to the tech field or seeking to advance your career, this guide provides essential tips and actionable strategies to help YOU stand out in the competitive job market and secure your dream tech position!

Topics covered in this article include:

Using Your Non-Technical Background: Transform your previous experience into a competitive advantage in tech.
Proactive Job Applications: Go beyond submitting applications by engaging directly with potential employers.
Building Dedicated Projects: Create tailored projects to showcase your skills and understanding of a company's needs.
Avoiding Developer Downfalls: Stay motivated and engaged by aligning learning paths with personal interests.
Hands-On Coding: Develop coding skills through practice and constructive feedback.
AI in Tech: Understand the benefits and challenges of integrating AI into your development journey.

Essential Tips to Break into Tech

To kickstart your career successfully, Per shares his top three essential tips from his vast experience with students who have become tech success stories. Applying these tips differentiates you from other developers, giving you a competitive advantage in the job market!

Tip 1: Use Your Non-Technical Background to Your Advantage

If you plan to transition your career into the tech industry, you already have valuable transferable skills! Your previous experience in a related field makes you a stronger candidate for programming projects relevant to that industry. You can use your expertise to provide fresh insights and ideas for tech projects, giving you a competitive advantage that other developers might lack due to insufficient relevant industry experience. Scrimba student Adrian secured a tech job as an email developer at TripAdvisor thanks to his relevant tourism industry experience from working at a hotel.

Real-world student success stories feature health workers, teachers, and marketers, among others, who have successfully transitioned into tech positions directly related to their previous fields.

Consider applying for tech jobs that are relevant to your current career in the industry. Also, consider aiming for a promotion to a new tech position at your current job.

Tip 2: Knock Down Doors When Applying for Jobs

Don't just submit your application and wait; go the extra mile and follow up! Reach out directly to the hiring manager or team to express your enthusiasm and ask about the next steps in the hiring process. You can also connect with staff members on LinkedIn to introduce yourself and show your interest in working for the company. Additionally, engage with their content on social media to build rapport. This proactive approach demonstrates your genuine interest in the position and helps you stand out from other candidates.

Persistence pays off! In another student success story, a candidate applied for a position at her dream company but was initially turned down. Despite the rejection, she left a positive impression, and when she later applied for a different role, the company remembered her and ultimately hired her.

Consider taking a different role at the company you wish to join to get your foot in the door. This will better position you for the tech job you want from within!

Tip 3: Build Dedicated Projects for the Companies You Apply to

Take the initiative by bringing next-level ideas to the table! Scrimba student Andy researched the ideal clientele for the company he was applying to and identified a local gym as a potential client. He proactively created a new website for the gym, which had been subpar. During his interview, he suggested the gym as a prospective client and showcased the website he had developed for them. This tactic not only demonstrated his knowledge of their business but also showcased his technical skills and proactivity. As a result, Andy landed the job!

Going the extra mile by exceeding expectations will help you stand out from other candidates, giving you a better chance of landing a job over other applicants!

In a personal success story, I caught Scrimba's attention by taking the initiative; I wrote coverage articles, participated in their Livestream events, and helped fellow students on their Discord. When a paid writing opportunity became available at Scrimba, they gladly hired me as a freelancer! Additionally, they invited me to become a paid code reviewer and public speaker, all thanks to my proactive efforts.

Avoid Developers’ Most Dangerous Downfall

Boredom is the most dangerous downfall for developers, and to succeed, you must avoid it at all costs! There is a lot to cover when learning web development, and it’s easy to lose interest before gaining a solid understanding and developing the necessary skills to become a hireable developer. The best way to avoid boredom is to choose a learning path that aligns with your interests and passions. Building passion projects is a great way to choose your learning path and prevent boredom.

As a passion project, I created a Star Wars Ahsoka React website and documented the process. This approach kept me motivated, prevented boredom, and made learning React fundamentals enjoyable instead of feeling like work! I encourage you to start a passion project today; it can transform your learning journey into an exciting adventure that keeps you inspired and on the path to success!

Building Skills with Hands-On Coding

The only way to learn how to code is to write a lot of code. Writing the code yourself not only builds muscle memory but also helps you develop the necessary problem-solving skills to become a proficient developer.

Relying too heavily on prompt coding with AI can be detrimental in the long run, as it can lead to an overdependence on the code provided. Not only do you miss out on the beneficial opportunity of writing the code yourself, but you may also end up with a limited understanding of how the code works.

Scrimba has struck a fine-tuned balance between allowing you to write code yourself and using AI to assist you in learning how to code, thanks to their exclusive AI Feedback feature! The AI Feedback feature on Scrimba provides instant, tailored feedback on your coding exercises, helping you understand and correct mistakes while maintaining the hands-on practice essential for developing coding skills. Instead of providing you with code, the AI gives constructive feedback on the code you wrote. This teaching approach guides you in the right direction as you attempt to solve coding problems, rather than supplying answers, effectively assisting you in learning how to code!

When learning to code, use AI as a tool to assist you rather than doing the work for you! Seek feedback on your code and ask for explanations about how each line works. This approach will deepen your understanding of programming and enhance your problem-solving skills, enabling you to become a more accomplished coder and an independent learner.

Get instant feedback as you learn to code!

AI: For Better or For Worse

AI is here to stay and is widely acknowledged as a significant advancement. Programming has evolved from punch cards and low-level languages to modern frameworks and a wealth of readily available resources. All of this contributes to the ongoing progress in programming, ultimately benefiting developers like us, provided it is used correctly.

For Better:

More people can write code
You can learn a lot faster
You can be more productive

Not everyone with an idea for a personal app is a computer programmer, and now they don't have to be! AI prompt engineering has made development accessible to everyone, democratizing it and allowing individuals to create custom applications tailored to their specific needs.

Developers also gain advantages from AI, becoming highly efficient engineers who can accomplish significantly more with less effort and time.

For Worse:

Leads to a lot of subpar software
Weakens coding skills due to dependency on AI
Newbies flooding the job market make it tougher for skilled coders to advance.

Unfortunately, when AI is used by non-programmers and inexperienced coders, it can result in subpar software. Additionally, troubleshooting errors and fixing design flaws becomes more complicated for these developers because they lack the foundational knowledge and experience needed to effectively address and resolve such issues.

Another negatively impactful result of the rise of AI programmers is job market flooding, which makes it difficult for more experienced and qualified developers to stand out from the crowd, ultimately resulting in the loss of employment opportunities to less qualified applicants.

While AI offers significant opportunities to make coding more accessible and enhance productivity, it also presents challenges that require careful management. It's essential to strike a balance between leveraging AI's capabilities and maintaining strong foundational skills to succeed in the ever-evolving tech landscape.

The Advantage of Human Mentorship

Although you can use AI as a viable coding assistant, there’s still no substitute for a human mentor. The main reason is that the bandwidth between two humans is much higher than the bandwidth between a human and an AI. Mentors have immense value in contributing to students’ learning to code, as they can pick up on social cues, knowing when students need to take a step back and learn certain coding concepts when trying to solve an overall problem, and also when it’s time for them to take a break.

Senior developers, having honed their skills over time, often possess a refined sense of programming style, leading to well-informed opinions on coding principles. In contrast, large language models (LLMs) generate responses based on a blend of all the data they've been trained on, which can result in a lack of depth in their understanding of coding principles.

With human bandwidth in mind, Scrimba proactively incorporates it into their code learning platform through teacher-recorded interactive screencasts, peer code reviews, help and encouragement in their Discord community, Livestream events, and more!

Advance Your Career with Scrimba's Full-Stack course!

Exciting news! Scrimba has finally launched its highly anticipated full-stack development course! This is a fantastic opportunity for anyone looking to master both the front-end and back-end of application development.

By enrolling in this course, you will acquire essential skills to develop robust and dynamic applications, enhance your coding abilities, and significantly increase your career advancement opportunities in the tech industry!

Full-stack course includes:

Intro to Astro: A modern static site generator designed for building fast websites.
Intro to Supabase: An open-source backend-as-a-service platform that provides real-time databases and authentication.
Command Line Basics: Fundamental commands and operations used to interact with a computer's operating system via text input.
Learn Express.js: A web application framework for Node.js, designed for building web applications and APIs.
Intro to SQL: A language used for managing and manipulating relational databases.
Intro to Nuxt: A framework for building server-side rendered applications with Vue.js.
Intro to Vite: A build tool that provides a fast development environment for modern web projects.
Learn Next.js: A React framework for building server-side rendered and static web applications.
Learn Node.js: A JavaScript runtime built on Chrome's V8 engine, used for building scalable network applications.

Per's Links

Be sure to listen to the Podcast episode!

AI in Developer Education: Scrimba's Instant Feedback & New Backend Courses w/ Per Borgen

Be sure to check out HTML All The Things on socials!

How to support the show

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Learn with Scrimba!

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Join their exclusive discord communities and network to find your first job!

Use our affiliate link for a 10% discount!! (Discount valid until the end of 2025)

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Conclusion

Three essential tips for breaking into the tech industry include leveraging your non-technical background, being proactive in job applications, and building dedicated projects. By utilizing transferable skills from previous careers, you can gain a competitive edge in tech roles related to your industry experience. Proactively engaging with potential employers through follow-ups and networking can help you stand out from other candidates. Creating tailored projects for companies to which you apply demonstrates initiative and an understanding of their needs, significantly enhancing your chances of securing a position. These strategies will help you to stand out in the competitive tech job market.

Boredom poses a significant risk as it can hinder progress and skill development, and must be avoided at all costs! To combat this, it's crucial to select a learning path that resonates with your interests and passions. Engaging in passion projects can be an effective strategy for maintaining motivation and preventing boredom. Starting a passion project can turn your learning journey into an exciting adventure, keeping you inspired and on track for success.

The most effective way to learn coding is through extensive hands-on practice, which builds muscle memory and enhances your problem-solving skills. Over-reliance on AI prompt coding can hinder your understanding and development as a coder. Be sure to utilize AI as a supportive tool, not as a replacement for your work! Seek feedback and code explanations from AI to deepen your knowledge and evolve into a more proficient and independent coder.

AI represents a major advancement in programming, offering both significant benefits and challenges. On the positive side, AI democratizes coding, enabling more people to create custom applications without needing to be programmers. AI also helps experienced developers, as it accelerates learning and boosts productivity, allowing them to achieve more with less effort. However, the downside includes the risk of producing subpar software when non-coders and inexperienced coders rely on AI, which can complicate troubleshooting and the resolution of design flaws. Additionally, the influx of new AI-assisted programmers can saturate the job market, making it more challenging for skilled developers to differentiate themselves. To thrive in this evolving landscape, it's crucial to balance AI's advantages with the development of strong foundational coding skills.

While AI serves as a helpful coding assistant, it cannot replace the unique benefits of human mentorship! The interaction between humans enables a deeper understanding and personalized guidance that AI cannot replicate. Mentors can interpret social cues, provide tailored advice, and know when to encourage a break or a more profound exploration of concepts. Experienced developers bring a refined programming style and well-informed opinions that AI lacks due to its generalized data training. Scrimba leverages this human advantage by integrating interactive screencasts, peer reviews, and community support into its learning platform, ensuring a rich, human-centered learning experience.

Building on the strength of human mentorship, Scrimba continues to innovate in tech education with the launch of its highly anticipated full-stack development course, offering a comprehensive opportunity to master both front-end and back-end application development! This course equips you with essential skills to build robust and dynamic applications, enhancing your coding abilities and boosting your career prospects in the tech industry. The curriculum encompasses a range of topics, including Astro for rapid website development, Supabase for real-time databases, command-line basics, Express.js for web applications, SQL for database management, Nuxt for server-side applications, Vite for modern web projects, Next.js for React applications, and Node.js for scalable network applications. Consider enrolling now to advance your career in tech!

Prompt Engineering Isn’t Magic—It’s Method

Wed, 18 Jun 2025 12:54:41 +0000

Crafting AI Prompts That Deliver: A Software Engineer’s Guide to Avoiding the 80% Failure Trap

As a software engineer with over two years of hands-on experience building AI solutions, I’ve seen the good, the bad, and the ugly of working with AI models. The statistic is stark: 80% of AI outputs fail because of poorly crafted prompts. That’s not just a number—it’s months of wasted effort, generic responses, biased outputs, and endless tweaking that could’ve been avoided. In the trenches of real-world AI development, I’ve learned what separates effective prompts from the ones that crash and burn. Here’s a no-nonsense guide to crafting prompts that actually work, grounded in practical insights, not buzzword hype.

Why Prompts Matter More Than You Think

Prompts are the bridge between your intent and the AI’s output. A weak prompt is like giving vague directions to a driver—you’ll end up somewhere, but probably not where you wanted. Poor prompts lead to generic, biased, or outright useless responses, costing you time and resources. For engineers like us, who live in the world of code and systems, prompts are the API to AI. Get them right, and you unlock precision and value. Get them wrong, and you’re stuck in a loop of frustration.

The stakes are high. A single bad prompt can derail a project, forcing you to spend hours—or even months—refining outputs that should’ve been usable from the start. Below, I break down three proven techniques to craft prompts that deliver, along with what doesn’t work and why. These are battle-tested lessons from building real AI solutions, not theoretical fluff.

1. Clarity Over Complexity: Write Precise, Context-Rich Prompts

What Works: A sharp prompt is specific, contextual, and goal-oriented. Think of it as writing a function with clear inputs and expected outputs. For example, instead of asking, “Tell me about machine learning,” try, “Explain how a decision tree algorithm works for classifying customer churn in a SaaS business, including key metrics like precision and recall.” The latter gives the AI a clear target: a specific algorithm, a use case, and metrics to focus on.

What Doesn’t Work: Vague prompts loaded with buzzwords like “innovative” or “game-changing” are a recipe for generic answers. Asking, “Give me an AI strategy,” is like asking a chef to “make food.” You’ll get something, but it won’t be tailored or useful. Without context, AI models fall back on broad, shallow responses that waste your time.

How to Do It:

Define the goal: What do you want the AI to produce? A code snippet, an explanation, a summary?
Add context: Include relevant details like the domain, audience, or constraints. For example, “Write a Python function for a REST API endpoint that handles user authentication, assuming a Flask framework and JWT tokens.”
Avoid ambiguity: Replace vague terms like “good” or “effective” with measurable criteria. For instance, “good results” could become “achieves 90% accuracy.”

Example: Instead of “Write a blog post about AI,” try, “Write a 500-word blog post for a tech startup’s audience, explaining how AI-driven chatbots can reduce customer support costs by 30%, with two real-world examples.” The AI now has a clear audience, purpose, and metric to anchor its response.

Why It Matters: A clear prompt cuts through the noise, reducing the need for endless follow-ups. In my projects, I’ve seen well-crafted prompts reduce iteration time by up to 50%. Clarity is your first line of defense against the 80% failure rate.

2. Iterate Ruthlessly: Treat Prompts Like Code

What Works: Prompts aren’t a one-and-done deal. Just like debugging code, you need to test, refine, and iterate systematically. Keep a log of what works and what doesn’t, tweaking variables like tone, structure, or specificity. For example, if a prompt yields a vague response, add more constraints or rephrase for precision. Track results to identify patterns—think of it as A/B testing for prompts.

What Doesn’t Work: Expecting a perfect output on the first try is a fantasy. AI models, even advanced ones like Grok 3, aren’t mind-readers. If you fire off a prompt and hope for magic, you’ll likely get a response that’s off-target or overly generic. Similarly, tweaking randomly without tracking changes leads to chaos—you won’t know what improved the output or why.

How to Do It:

Start simple: Test a basic prompt to establish a baseline.
Refine systematically: Adjust one element at a time (e.g., add context, change tone, or specify output format) and compare results.
Log outcomes: Keep a record of prompts and their outputs. I use a simple spreadsheet with columns for prompt, output quality, and notes on what to tweak next.
Example: If “Summarize this article” gives a weak summary, iterate to “Summarize this article in 200 words, focusing on the author’s main argument and two supporting points, written for a beginner audience.” Each iteration sharpens the result.

Why It Matters: Iteration turns a mediocre prompt into a powerful one. In one project, I spent a week refining a prompt for generating SQL query explanations, cutting down response errors from 40% to under 10%. Prompts evolve, or they fail.

3. Role-Play for Relevance: Give AI a Specific Persona

What Works: Assigning the AI a persona—like “act as a senior data scientist” or “respond as a technical writer for a developer audience”—grounds the response in a specific perspective. This technique aligns the AI’s tone, depth, and focus with your needs. For example, “Act as a cybersecurity expert and explain how SQL injection attacks work” yields a more technical, focused response than a generic query.

What Doesn’t Work: Generic prompts without a defined role often lead to bland, one-size-fits-all answers. Asking, “What’s a neural network?” might get you a Wikipedia-style overview, but telling the AI to “explain neural networks as a machine learning professor teaching a graduate class” delivers a response with the right depth and rigor.

How to Do It:

Choose a relevant role: Pick a persona that matches your desired expertise level and domain, like “DevOps engineer” or “business analyst.”
Specify the audience: Pair the role with a target audience, e.g., “Act as a product manager explaining agile methodology to a team of junior developers.”
Example: Instead of “Describe cloud computing,” try, “Act as a cloud architect and describe how AWS EC2 instances support scalable web applications, targeting startup CTOs.” The persona and audience sharpen the AI’s focus.

Why It Matters: Role-playing reduces the AI’s tendency to hedge or overgeneralize. In my work, assigning roles like “senior backend developer” for code-related prompts has consistently produced more actionable outputs, saving hours of cleanup.

Common Pitfalls to Avoid

Beyond the core techniques, here are traps I’ve seen engineers fall into:

Overloading Prompts: Packing too many goals into one prompt (e.g., “Explain AI, write code, and analyze data”) confuses the AI. Break it into smaller, focused prompts.
Ignoring Bias: AI can inherit biases from training data. If you notice skewed outputs, add explicit instructions like, “Provide a balanced perspective” or “Avoid stereotyping.”
Skipping Validation: Always cross-check AI outputs. Even the best prompts can produce errors, especially for technical tasks like code or calculations.

Putting It All Together

Crafting effective AI prompts is like writing clean, efficient code: it takes clarity, iteration, and precision. By writing context-rich prompts, iterating systematically, and assigning specific roles, you can dodge the 80% failure rate that plagues most AI outputs. These techniques aren’t theoretical—they’re born from real-world projects where I’ve wrestled with vague responses and won.

For engineers, the takeaway is simple: treat prompts as a critical part of your workflow. A sharp prompt saves time, reduces frustration, and delivers results you can actually use. Start small, test relentlessly, and give the AI a clear job to do. You’ll be amazed at how much more you can get out of tools like Grok 3.

P.S. I share more no-nonsense tech insights like this on my Substack. No fluff, just practical tips from the front lines of engineering. Check it out if you want to level up your AI game.

How can you include locale data in your Angular application?

Tue, 10 Jun 2025 20:58:17 +0000

Using locale data in your Angular application offers several important benefits, especially when building apps for a global audience.

Benefits of Using Locale Data in Angular

1. Internationalization (i18n) Support

Locale data allows your app to display content in different languages and formats based on the user's region.
Enables dynamic language switching, improving accessibility and usability for global users.

2. Localized Date, Time, and Currency Formats

Angular's DatePipe, CurrencyPipe, and DecimalPipe automatically format values according to the active locale.
Example:
- en-US: 12/31/2025
- fr-FR: 31/12/2025

3. Currency Symbols and Number Formatting

Numbers and currencies are formatted based on regional conventions (e.g., decimal vs comma separators).
Avoids confusion and improves the trust and readability for financial apps.

4. Pluralization Rules

Supports grammatically correct plural forms depending on the locale.
Useful in strings like “1 item” vs “2 items” — which varies in structure across languages.

5. Built-in Angular i18n Tools Compatibility

Locale data is necessary for using Angular's built-in i18n features (e.g., @angular/localize).
Helps with ahead-of-time (AOT) translation file compilation.

6. Better User Experience

Users are more comfortable and confident using an app that behaves naturally in their language and cultural context.

Example: Registering Locale in Angular

import { registerLocaleData } from '@angular/common';
import localeFr from '@angular/common/locales/fr';

registerLocaleData(localeFr);

Then in your providers:

{ provide: LOCALE_ID, useValue: 'fr' }

Complete setup:

To include locale data in your Angular application and enable localization, Run this command:

 `ng build --localize`

Step 1: Set Up Your Angular Project for Localization

Install Angular Localize Package:
Ensure you have the Angular Localize package installed. You can add it to your project with:

ng add @angular/localize

Update angular.json:
In your angular.json file, define the different locales you want to support. Look for the projects section and add your locales under i18n like this:

specific changes:

 "projects": {
    "<your-project-name>": {
      "i18n": {
        "sourceLocale": "en-US",
        "locales": {
           "fr": "src/locale/messages.fr.xlf",
       "es": "src/locale/messages.es.xlf"
        }
      },
      ...
      "architect": {
        "build": {
          ...
          "options": {
            "localize": [
              "en-Us"
            ],
            "aot": true,
            "i18nMissingTranslation": "error",
            "outputPath": "dist/your-project-name",
            ...
          },
          "configurations": {
            "production": {
              ...
            },
            "development": {
              ...
            },
            "en-US": {
              "localize": [
                "en-US"
              ]
            },
            "nl": {
              "localize": [
                "nl"
              ]
            }
          },
          "defaultConfiguration": "production"
        },
        "serve": {
          "builder": "@angular-devkit/build-angular:dev-server",
          "configurations": {
            "production": {
              "browserTarget": "<your-project-name>:build:production"
            },
            "development": {
              "browserTarget": "<your-project-name>:build:development"
            },
            "en-US": {
              "browserTarget": "<your-project-name>:build:development,en-US"
            },
            "nl": {
              "browserTarget": "<your-project-name>:build:development,nl"
            }
          },
          "defaultConfiguration": "development"
        },
        "extract-i18n": {
          "builder": "@angular-devkit/build-angular:extract-i18n",
          "options": {
            "browserTarget": "<your-project-name>:build",
            "format": "xlf",
            "outputPath": "src/locale"
          }
        },
        ...
        "deploy": {
          "builder": "@angular/fire:deploy",
          "options": {
            "prerender": false,
            "ssr": false,
            "browserTarget": "<your-project-name>:build:production",
            "firebaseProject": "<your-project-name>-i18n",
            "firebaseHostingSite": "<your-project-name>-i18n"
          }
        }
      }
    }
  },

Full code: 

  {
  "$schema": "./node_modules/@angular/cli/lib/config/schema.json",
  "version": 1,
  "newProjectRoot": "projects",
  "projects": {
    "localization-app": {
      "projectType": "application",
      "schematics": {
        "@schematics/angular:component": {
          "style": "scss"
        },
        "@schematics/angular:application": {
          "strict": true
        }
      },
      "root": "",
      "sourceRoot": "src",
      "prefix": "app",
      "i18n": {
        "sourceLocale": "en",
        "locales": {
          "fr": {
            "translation": "./src/locale/messages.fr.xlf",
            "baseHref": ""
          }
        }
      },
      "architect": {
        "build": {
          "builder": "@angular-devkit/build-angular:browser",
          "options": {
            "outputPath": "dist/localization-app",
            "index": "src/index.html",
            "main": "src/main.ts",
            "polyfills": "src/polyfills.ts",
            "tsConfig": "tsconfig.app.json",
            "localize": [
              "fr"
            ],
            "aot": true,
            "i18nMissingTranslation": "error",
            "assets": ["src/favicon.ico", "src/assets"],
            "styles": ["src/styles.scss"],
            "scripts": []
          },
          "configurations": {
            "production": {
              "localize": true,
              "fileReplacements": [
                {
                  "replace": "src/environments/environment.ts",
                  "with": "src/environments/environment.prod.ts"
                }
              ],
              "optimization": true,
              "outputHashing": "all",
              "sourceMap": false,
              "namedChunks": false,
              "extractLicenses": true,
              "vendorChunk": false,
              "buildOptimizer": true,
              "budgets": [
                {
                  "type": "initial",
                  "maximumWarning": "500kb",
                  "maximumError": "1mb"
                },
                {
                  "type": "anyComponentStyle",
                  "maximumWarning": "2kb",
                  "maximumError": "4kb"
                }
              ]
            },
            "fr": {
              "localize": ["fr"]
            },
            "hi": {
              "aot": true,
              "i18nFile": "src/translate/convertApp.hi.xlf",
              "i18nFormat": "xlf",
              "i18nLocale": "hi",
              "i18nMissingTranslation": "error"
            },
            "development": {
              "localize": false,
              "buildOptimizer": false,
              "optimization": false,
              "vendorChunk": true,
              "extractLicenses": false,
              "sourceMap": false,
              "namedChunks": true
            }
          },
          "defaultConfiguration": "production"
        },
        "serve": {
          "builder": "@angular-devkit/build-angular:dev-server",
          "options": {
            "browserTarget": "localization-app:build"
          },
          "configurations": {
            "production": {
              "browserTarget": "localization-app:build:production"
            },
            "en-US": {
              "browserTarget": "localization-ap:build:development,en-US"
            },
            "fr": {
              "browserTarget": "localization-app:build:development,fr"
            },
            "development": {
              "browserTarget": "localization-app:build:development"
            }
          },
            "defaultConfiguration": "development"
        },
        "extract-i18n": {
          "builder": "@angular-devkit/build-angular:extract-i18n",
          "options": {
            "browserTarget": "localization-app:build",
            "format": "xlf",
            "outputPath": "src/locale"
          }
        },
        "test": {
          "builder": "@angular-devkit/build-angular:karma",
          "options": {
            "main": "src/test.ts",
            "polyfills": "src/polyfills.ts",
            "tsConfig": "tsconfig.spec.json",
            "karmaConfig": "karma.conf.js",
            "assets": ["src/favicon.ico", "src/assets"],
            "styles": ["src/styles.scss"],
            "scripts": []
          }
        },
        "lint": {
          "builder": "@angular-devkit/build-angular:tslint",
          "options": {
            "tsConfig": [
              "tsconfig.app.json",
              "tsconfig.spec.json",
              "e2e/tsconfig.json"
            ],
            "exclude": ["**/node_modules/**"]
          }
        },
        "e2e": {
          "builder": "@angular-devkit/build-angular:protractor",
          "options": {
            "protractorConfig": "e2e/protractor.conf.js",
            "devServerTarget": "localization-app:serve"
          },
          "configurations": {
            "production": {
              "devServerTarget": "localization-app:serve:production"
            }
          }
        }
      }
    }
  },
  "defaultProject": "localization-app",
  "cli": {
    "analytics": "ba193fb2-91a2-4501-a4e7-45943ddfd7b2"
  }
}

Step 2: Create Translation Files

Generate Translation Files:
Use the Angular CLI to extract messages and create a translation file:

   ng xi18n

This will create a messages.xlf file in the src/locale directory. You can then translate this file into the target languages, renaming it appropriately (e.g., messages.fr.xlf for French).

Step 3: Add Translations

Translate Messages:
Edit your generated translation files to include the translations for the text used in your application.

Step 4: Build the Application

Build with Localization:
Once your translation files are ready, you can build your application for a specific locale or all defined locales using:

   ng build --localize

This command will generate separate builds for each locale you defined in your angular.json.

Step 5: Serve the Application

Serve Localized Builds:
After building, you can serve your application. If you want to test a specific locale, you can serve the localized version by specifying the locale:
```
ng serve --configuration=fr
```

Summary

By following these steps, you can include and manage locale data in your Angular application, enabling it to support multiple languages and regions effectively.

My Journey as a Developer: The Wins, The Struggles, and Everything in Between

Wed, 14 May 2025 23:27:44 +0000

I wanted to be a programmer. I coded, I failed, I repeated. That’s the story of my life as a developer. But through all the struggles, I learned one thing, failure isn’t the end. It’s just part of the process.

The Start

Like many others, I had an interest in STEM and figured software development was the obvious career path. I thought learning to code would automatically lead to greatness. But reality hit hard — I struggled, I failed classes, and at times, I questioned if I was even cut out for this.

Coding became a chore. I didn’t enjoy it anymore, but I was too deep into my major to quit. Besides, this was all I knew. So I pushed forward and graduated, barely scraping by.

The Journey

Graduating felt like a fresh start. I thought, At least I can get a job in tech, work on cool projects, and finally prove myself.

But life had other plans.

I applied for jobs and landed one in tech, but I wasn’t coding.
I realized I had a massive amount of debt, so I picked up a second job.
Then a third job.
Then… I got scammed.
Then… I got COVID.

All of this happened within the first two years after college. I was juggling three jobs, and only one of them was in tech — where I wasn’t even coding. It felt like I was stuck.

The Wins

I wanted better for myself, so I stepped out of my comfort zone.

I joined a community called Grammerhub on discord and relearned how to code.

I worked on improving my skills and breaking into the industry properly.
I earned an Azure certification — a huge win.
I studied for another certification… and failed.
I took it again… and failed, but with a better score.
I tried a third time — and finally passed.

Even with these wins, imposter syndrome kicked in. Am I even good enough to be a developer? Do I really belong here?

But when I looked back, I saw just how far I had come. I had failed, struggled, and doubted myself — but I had also grown. And then, the biggest win happened: I landed a new job where I actually get to code.

The Lesson

Through all of this, I realized one simple truth: failure is part of the process.

As developers, we break things, debug, and try again. Learning to embrace failure — not fear it — is the key to growth. Every setback is just another lesson that makes us better.

So if you’re struggling as a developer, just know: failure isn’t the end. It’s proof that you’re learning.

Have you faced similar struggles in your coding journey? Let’s talk in the comments!

Discover how learning in public and networking can transform your tech career!

Wed, 07 May 2025 22:58:14 +0000

Discover how learning in public and networking can transform your tech career. Uncover strategies to enhance your skills, build connections, and unlock unexpected opportunities for growth and success!

Introduction

I want to share with you a profound technique that is greatly assisting me in advancing my journey in changing careers into tech: learning in public and networking with people.

While it may take some time to explain, this technique is practical and can be easily integrated into your learning process. Once you understand and apply it, I believe you can achieve similar positive results.

Learning in Public

What do I mean by learning in public? As an aspiring web developer, you will be learning continually. Taking the extra time to document and share your learning will significantly benefit you in several ways.

Reinforce what you learn
Understand the topic better
Create documentation for yourself and others
Form and display a habit of discipline
Provide others with examples of your work and skills

They say if you cannot explain a topic in detail to others, you do not truly understand it. Writing an article, recording a video, or sharing what you are learning in a detailed post will help reinforce what you've learned and improve your understanding of the topic.

Creating content based on what you are learning also provides documentation for yourself and others; reading your articles for refreshers on topics and step-by-step instructions is a great feeling.

As an aspiring professional developer, learning in public in this manner consistently creates and displays a habit of discipline. It provides others with examples of your work and skills, which can lead to career-advancing opportunities!

As you'll see in my success story later, learning in public is opening doors to unexpected opportunities and is pivotal to my career advancement.

Networking with People

While you are learning in public, be sure to also network with the people engaging in your work.

Network with the people you interact with on social media, online coding schools, Discord, and other means of communication web developers use. You will gradually grow your network over time by doing so.

A robust network will provide career-advancing opportunities and a safety net should you lose your job: when work opportunities arise through your network, you can reach out to them, and they might even contact you first!

Within my network, Brian Morrison quickly secured a new job at Clerk just days after being laid off. James Q. Quick received numerous guaranteed job offers from his connections following his layoff from PlanetScale.

I've recently taken this networking technique a step further by attending local Code and Coffee meetups. Making connections online is important, but meeting people in person can solidify these connections and even help you meet more people who can help advance your career.

From left to right: Steven Troy Gittens, Sam, Richard Choi, myself, and James Q. Quick.

Authenticity and Consistency

The technique of learning in public and networking with people to advance your career comes with a caveat: it must be done with authenticity and consistency.

It is in your best interest to network with others authentically, wanting to get to know them for who they are, not with the intention of what they can do for you! Be encouraged. In my experience, what is known as “Tech Twitter“ is full of wonderful people who teach, inspire, encourage, and help one another. So I personally invite you to start there!

Most importantly, you must consistently learn in public and engage with your network. In order for this technique to be effective, you must play the long game; think of it like a marathon race, as opposed to a sprint. In time, you will have accumulated so much content creation by learning in public and have grown your personal network so extensively that you will significantly increase your chances of achieving career success when opportunities arise!

Success Stories

Why am I so insistent that you learn in public and network with people? Because in an unstable job market, these are two things you can control that will increase your chances of success, just as they have for me.

I take a famous saying to heart: Success is where preparation meets opportunity. Preparation in this context is learning in public and networking with people; success is securing job opportunities when they arise.

Keep in mind that career-advancing opportunities do not always involve receiving payment. A great opportunity I secured is becoming a contributing author for freeCodeCamp. Writing for freeCodeCamp provides an unbelievable reach for my articles, as they are literally shared with millions of people! Writing for freeCodeCamp increased my credibility, recognition, and reputation. I credit being accepted as a freeCodeCamp contributing author to my personal blog, Self-Taught the X Generation, where I wrote coverage articles about their platform, including my experiences learning on it. Founder Quincy Larson read one of my coverage articles and directly messaged me on Twitter. He liked the article and complimented me on the name of my blog and my branding; it turns out that he is also a Star Trek the Next Generation fan, and he noticed the reference!

When I applied to become a contributing author for freeCodeCamp, I was surprised to learn that Quincy was one of the three staff members making the decision. I wonder if my existing articles, some of which featured freeCodeCamp, and my personal connection with Quincy Larson, the platform's founder, influenced their decision. This rhetorical question supports the idea of learning in public and networking with people to secure career-advancing opportunities! Special note: I provided three of my best articles, as required, demonstrating my writing abilities, and they were not freeCodeCamp articles.

I secured my first paid opportunity when a writing gig came up at Scrimba, as they began paying writers to contribute to their blog. Since I had been writing articles on my personal blog about my experience with Scrimba, they were already familiar with me and my writing skills, so they brought me on board.

Learning in public showcased my coding skills by sharing my projects and writing articles about them, complete with links to the live models. This helped me land additional opportunities with Scrimba, where I became a paid code reviewer for their bootcamp. I also received an invitation for a paid public speaking livestream event with them to teach students about the benefits of blogging.

My work opportunities, gained through learning in public and networking, also led to collaborations on additional projects. The HTML All The Things Podcast contacted me and offered a paid position to write articles for their website and assist in expanding their platform. More recently, I also secured a role as a Documentation Engineer for Gridion Survivor, an app developed by a select group of junior developers under the mentorship of Microsoft Engineer Shashi Lo as part of his apprenticeship program. This program aims to provide real-world team environment experience, which is highly valued by hiring managers, as it makes candidates' onboarding process more manageable, ultimately leading to being hired!

This technique of learning in public and networking is easy and attainable to adopt, and I believe you will also reap career-advancing opportunities by applying them! It will take time, and you must do it consistently and authentically. When done effectively, this approach will create a wealth of ongoing opportunities for you!

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Conclusion

Learning in public and actively networking are continually providing career-advancing opportunities for me, and I believe that if you follow the same technique, you will achieve similar success!

By sharing your learning journey with others, you strengthen what you already know and gain a better understanding of the subject matter. By documenting and sharing your experiences, you effectively showcase your skills and knowledge to a wider audience. This can catch the attention of potential employers and collaborators, helping you connect with people who might offer valuable career opportunities.

Most importantly, be authentic when networking with others. Focus on getting to know them rather than trying to gain something from them! Over time, as your network grows, you'll create a safety net of career opportunities and support in uncertain job markets. By genuinely connecting with your network, you'll find that these efforts can lead to unexpected growth and success, as it has for me!

Start your journey today by sharing your learning experiences and connecting with others—your future self will thank you for the opportunities and career growth that follow!

This an article encouraging people to embrace AI

Wed, 02 Apr 2025 09:16:53 +0000

The Future of AI in Problem-Solving

Artificial Intelligence (AI) has become a buzzword, thrown around in conversations, articles, and advertisements. Many people view it as a looming replacement for human labor, a force that will render jobs obsolete. However, I invite you to see AI from a different perspective—not as a threat, but as a tool. AI is an extension of human capability, designed to assist us in completing repetitive tasks efficiently, allowing us to focus on more meaningful work.
For example, this very article is being proofread by an AI language model, ensuring that grammatical errors are caught before publishing. This allows me to focus on other priorities, such as working on a software project or even grabbing dinner (which, by the way, I just realized I haven’t eaten yet!).

To understand AI’s true potential, let’s take a step back in history. Before the invention of the shovel, early humans moved small rocks and debris using their bare hands. This method was time-consuming and inefficient. Some may have devised ways to transport materials in makeshift bags, while others might have thrown them, requiring great precision and physical effort. However, these methods had their limitations—bags could break under excessive weight, and throwing required exceptional skill.
Then came the shovel—a simple yet revolutionary tool. It drastically reduced the manpower needed on a worksite, improving efficiency and productivity. A job that once required 1,000 workers could now be completed by just 100, while also being ten times faster. Rather than eliminating jobs entirely, the shovel created new industries: manufacturing, retail, rental services, and maintenance. Those who adapted to this new technology thrived, while those who resisted became obsolete.

Just as the shovel transformed manual labor, AI is transforming intellectual and computational tasks. Consider industries like customer service, finance, and healthcare—AI-powered chatbots, automated financial analysis tools, and diagnostic systems are revolutionizing these fields.
However, just like the workers who ignored the potential of the shovel, those who refuse to embrace AI may find themselves struggling in the near future. The best strategy is to position oneself within the AI ecosystem—either as a creator, an operator, a maintainer, or a consultant. AI is not an enemy but an ally, one that can unlock new opportunities for those willing to adapt.

A crucial lesson from history is that innovation never stops. After the shovel came the bulldozer—a more advanced tool that further improved efficiency. Similarly, AI will continue to evolve, leading to even more sophisticated systems capable of handling complex tasks. Instead of fearing AI’s advancement, we should prepare for what comes next.

Rather than viewing AI as a force that will replace us, we should embrace it as a tool to enhance our abilities. Just like the shovel revolutionized labor, AI is revolutionizing problem-solving across industries. Those who adapt and integrate AI into their workflow will thrive, while those who resist risk being left behind. The key to success in an AI-driven world is to find where you fit within the ecosystem—whether as a developer, a specialist, or an innovator. The future is not about avoiding AI but about leveraging it to reach new heights.

Success Isn’t Always Instant—It’s a Process

Thu, 27 Mar 2025 04:08:10 +0000

I remember a time when I gave something my all. I worked hard, stayed up late, and put in the effort—expecting immediate results.

But nothing happened. No opportunities. No breakthrough. No instant reward.

At first, it felt frustrating. I questioned myself:
Was I not good enough?
Did I miss something?
Why wasn’t it working yet?

But over time, I learned something important: Success isn’t just about the result—it’s about the process.

Many people think if they apply for 10 jobs, they should get one offer.
Or if they network with the right people, opportunities should come instantly.
Or if they launch a business or project, clients should start rolling in.

But in reality, growth is a cycle of effort, learning, adjusting, and persistence.

The Hidden Wins Along the Way
Sometimes, we assume the only victory is landing the dream job, signing the big contract, or achieving financial success.

But what if the real win is:
✅ The skills you develop through rejection and persistence.
✅ The connections you build through networking and showing up.
✅ The confidence you gain by pushing through obstacles.

Every “failed” application teaches you how to write a better one.
Every rejection helps you refine your approach.
Every networking conversation builds relationships that may open doors later.

We never know exactly what is required until we achieve our goal.
But what we can do in the meantime?

Keep showing up. Keep learning. Keep improving.

The People Who Win Are the Ones Who Don’t Stop
I’ve seen so many talented people give up too soon because they didn’t get instant results.

The student who applied for five jobs and stopped when they heard “no.”
The entrepreneur who launched a business but quit when the first sales didn’t come fast enough.
The professional who wanted to grow but stayed in their comfort zone because learning something new felt too hard.

The truth? The ones who succeed aren’t always the most talented—they’re the ones who keep going.

Your Success Will Happen—But Only If You Stay in the Game
So today, if you feel stuck, frustrated, or like things aren’t working fast enough, remember this:

➡️ Every effort counts—even if you don’t see the results yet.
➡️ Every challenge is shaping you into someone stronger.
➡️ Every step forward is making you more ready for the success you want.

Keep moving. Keep learning. Keep growing. Because when the opportunity finally comes—you’ll be prepared.

What’s one thing you’re working on right now, even if you don’t see results yet? Drop a comment!

Quote to Remember: “Success is the sum of small efforts, repeated day in and day out.” – Robert Collier