Recent posts tagged prompt-engineering

Saving an AI video prompt without its settings is a bit like keeping a command but losing the arguments. You can remember the idea and still have trouble repeating the experiment. For a small comparison, keep a record like this alongside each export...

Every time the topic of AI comes up in developer spaces, the conversation usually splits into two extremes: people who claim AI takes "zero effort" because you just type a sentence and get a finished product, and people who dismiss prompting as a sof...

A short AI-generated clip can be useful in a landing-page concept, a storyboard, or a social post. The difficult part is not typing a long prompt. It is defining a shot that can be evaluated, choosing suitable inputs, and deciding whether the output ...

AI engineering renames itself every six weeks. Underneath the funeral, something real is happening and it's not what the eulogy says. There’s a clip going around, an Anthropic lead in an interview, saying, roughly, that we don’t prompt models any mo...

By Jarno Saarimies, Founder of AEOvara. This is Part 3 of the series How to Build a Repeatable AI Search Visibility Benchmark. Ask ChatGPT the same commercial question twice and you may get two different shortlists. Change “best” to “most reliable,”...

Most of the prompt discussion I see around here is about wording, so I want to share the part that actually changed my results, which is the measurement around the prompt. If you are shipping anything LLM backed, this is the piece that saves you from...

A few weeks ago a Business Manager handed me a 50-page AI-generated technical spec. The document was impressive. The perspective behind it was the problem. I had talked to him a few days earlier about a new internal tool the company needed. We discu...

An agent's instruction to stay discreet loses attention within eight conversational turns. When a boundary matters, enforce it at the highest feasible tier, and never let the instruction layer be the only thing holding it. In 2024, a research team...

The problem was larger than the project Most Flamehaven Lab Notes begin after a project has already gone through some abuse. We build something, test it, find the part that does not behave as cleanly as the architecture suggested, and keep working...

Most "the model is unreliable" bug reports are not model bugs. They are unspecified behaviour. A model handed loose instructions fills the gaps differently on every call, and from the outside that looks like randomness. The gap between a feature tha...

!Self-fixing robothttps://azelianouski.dev/images/selffix-cover-robot-selfrepair.jpg Originally published on my bloghttps://azelianouski.dev/post/self-fixing-agent/. AI hype is all around us, and you probably heard of self-evolving, self-improving ...

For quite a while now, AI agents have been shrouded in a captivating mystique. We hear tales of autonomous entities capable of planning, executing complex tasks, and even self-correcting, seemingly with a mind of their own. From automating cloud clea...

You have eleven versions of the same prompt in a doc, three of them named "final," and no real idea which one scores best on last week's failures. So you tweak it again by hand, read ten outputs, decide it seems better, and ship. That is not optimiza...

In Part 1https://coderlegion.com/21935/ai-fundamentals-part-1-from-prompt-to-response, we learned how an LLM turns your prompt into a response. It all comes down to predicting one token at a time using the information available in its context windo...

Over the last two years, prompt engineering has become one of the most talked-about skills in the AI world. Developers exchange prompt libraries on social media, YouTube creators promise "10 prompts that will 10x your productivity," and online course...

You use Claude Code every day. But do you really know it? I didn’t. Not really. I could describe the surface, but I couldn’t tell you what was actually happening between hitting enter and seeing a diff. The harness was a black box, and that starte...

Hi, everyone Here are 11 observations regarding the wrong mindset shift among people who started loving LLMs a little too much. I collected all these examples based on real projects from the Big Tech companies I have seen personally. The poison of i...

When we use AI in a chat window, a little extra text usually does not matter. If the model says: Sure, here is the result: before answering, we can still read it. If it adds: Hope this helps! after the answer, we can simply ignore it. But co...

A few weeks ago I wrote a breakdown of Cloud Next '26 for developers Link to keynote1 and closed it with a line to other frontend devs: play with Agent Studio. I took my own advice. I tried to take my own advice and faced a technical issue with Goog...

There’s a moment every developer hits when “AI-assisted coding” starts feeling less like acceleration and more like friction. For me, that moment came somewhere between deleting yet another useEffect-based data fetch and watching Cursor confidently ...