Recent posts tagged devtools

Ask a developer how long it takes to build a working AI agent today, and the answer is often hours, not weeks. Ask how long it takes to get that agent approved, connected to production data, and trusted by the business, and the answer gets a lot less...

Every major AI lab now ships a command-line agent that runs on your machine with access to your files and shell. The deciding factor is which tasks you deliberately keep out of it. The deciding factor is simpler than most teams make it. The Idea: Sc...

FSCSS layout helpers: stack, hstack, center, size, rounded, ratio-fit, and friends From version 1.2.5 FSCSS added a set of property shorthands aimed at everyday layout and chrome—spacing axes, flex stacks, sizing, and aspect boxes—without inventing ...

Multi-file FSCSS in the browser — compile, preview, enable packages, export plain CSS. No install required. Open fscss.devtem.org/idehttps://fscss.devtem.org/ide and work. What it is The FSCSS IDE is a single-page workspace for Figured Shorthand ...

17NAS IPv6 Test — free online IPv6 connection test Not sure if your network really supports IPv6? This free tool checks it in real time, right in your browser. What it shows: Your IPv4 and IPv6 addresses side by side Connection latency for each ...

Autonomous AI coding agents promise 10x developer leverage. But without runtime execution guardrails, a single failing tool call can send an agent into an exponential token-burning compaction spiral. The Incident: 301,424,414 Tokens Burned in 24 Hou...

A person should see the calls that change something. Reads can run when a policy already allows that tool and those arguments. The failure mode Reviewing every tool call does not scale, and reviewing none of them leaves a coding agent free to write...

Generating code is no longer the part that interests me most. The harder problem starts one step later: Who gets to decide that the generated software is actually correct? I have been working on an open-source project called Derivative, and its so...

Why persistent, structured context — not bigger prompts — is what makes AI coding agents reliable. What is a "context brain"? A context brain is a single, persistent, versioned artifact that an AI agent reads before it acts — so it starts every tas...

Jev AI turns shared state into typed decisions with probabilities. It is a TypeSafe AI System One model and developer platform for classification, routing, scoring, safety checks, and agent workflows through an online playground, SDK, or REST API. T...

Hi everyone! I'm a college junior, and I built FramePort while working on Tomato, my custom 32-bit computer with a dual-LUT ALU running on an Artix-7 FPGA. I wanted to see its HDMI output beside my assembly code without constantly switching to OBS....

A website can load dozens of cookies, tracking scripts, pixels, tags, local storage objects, and third-party services without the site owner realizing exactly what is running. Google Analytics, advertising platforms, embedded videos, social media wi...

We Spent Months Teaching AI to Read Our Codebases. We Forgot to Teach It How to Remember. Every developer has had this session: You spend three hours pair-programming with Claude, Cursor, or Codex. Together, you untangle a gnarly race condition in ...

Originally published at vinpatel.comhttps://vinpatel.com/dispatch/claude-fable-5-1-and-mythos-5-1-ship-without-a-spec-sheet/?utmsource=devto&utmmedium=syndication&utmcampaign=dispatch What does "Fable" get you that a plain Claude release wouldn't? A...

Hi everyone, I wanted to share a project I've been working on to solve my own daily workflow frustration: SMS AI SMS AI1. The goal was to build a highly responsive, unified three-pane workspace where you can handle complex code generation, live we...

This spring, open source maintainers across the internet started noticing the same strange thing at the same time: a flood of bug reports that no human had written. Not spam. Not malicious. Just confidently wrong, at a scale nobody had planned for. D...

A coding agent looks at one service, sees a change that makes sense, and ships it. What it doesn't see is the billing service three hops away that depends on that exact behavior staying put. "There could be another part of the system — one service u...