AI Made Development Faster. Testing Needs to Stop Living in Spreadsheets.
AI agents are making software development faster. That is great. But there is a problem I do not think we are talking about enough: testing is not spe…
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We get feedback too late
We talk a lot about shipping faster now, but I think the more interesting question is how fast we learn that we are building the wrong thing. Most tea…
I built a macOS notch workspace for local AI coding agents
I have been running more local AI coding agents lately: Codex, Claude Code, Gemini CLI, Cursor Agent, and a few terminal-heavy workflows. The useful p…
Even Anthropic didn't notice Claude got worse for weeks — AI quality is invisible, and that's the enterprise problem
The company that ships the best coding model on the planet just published a postmortem worth sitting with: three innocent-looking config changes quiet…
Building M31A: A Terminal-Native AI Coding Agent That Ships, Not Just Suggests
Most AI coding assistants are glorified autocomplete on steroids. They suggest code, maybe write a function or two, but leave you holding the bag when…
How I debug RAG failures with deterministic signals
When building LLM apps, one frustrating problem is that a response can be wrong for many different reasons. The model may have hallucinated. The retri…
APX Routines Are Deterministic Pipelines Around AI
APX Routines Are Deterministic Pipelines Around AI A lot of agent automation fails because everything is treated like a prompt. The model gets a vague…
wayback-video: Turn Any Site's History into a Video
Side project outside my usual PHP world, but worth sharing. I have a habit of Googling old websites just to see what they looked like. GitHub circa 20…
The MCP Server Pre-Publish Checklist
Before you publish an MCP server, run 10 checks. Most servers fail at least three — and the failures are invisible until an agent picks the wrong tool…
I built an AI code reviewer as a GitHub Action — here's what I learned
If you've spent time on software engineering teams, you know pull request reviews are the ultimate bottleneck. They're slow, inconsistent, and often s…
Your README is a landing page: a 10-minute adoption audit for developer tools
For many developer tools, the GitHub README is the landing page. A potential user often decides whether to try the product before visiting a separate …
I Tried BrowserAct: A Browser Runtime Built for AI Agents
In my last browser automation article, I wrote about a simple idea: Your browser already has a remote control. Chrome exposes the Chrome DevTools Prot…
I built an MCP server that gives AI coding assistants persistent memory (85.6% token reduction)
Every time you start a new Claude Code session, your AI has zero context about what you were working on. Same with Cursor, Cline, Windsurf. You spend …
I Built a Full Apex IDE Inside a Chrome Extension (No Java, No Local Setup)
The Problem with the Existing Apex Workflow If you've done any meaningful Apex development, you know the drill: Open Salesforce Developer Console (slo…
Two unrelated Claude Code Opus 4.8 failures hit the same week: token burn and fabricated tool results
In late May 2026, operators running Claude Code on Opus 4.8 ( claude-opus-4-8 ) filed two structurally different failures within the same few days. On…
The Coding Agent Wrapper Is the Product Now
The model is no longer the most interesting part of a coding agent setup. That sounds wrong if you only watch demos. The demo is always about the mode…
A Fluent LLM Answer Is Not the Same as an Inspected Answer
Last time I hit a guardrail, it did not offer to repair my car. This one will not repair the car either. But it can help repair an answer that forgot …
Using PostAll's API to Automate Your Content Workflow: A Getting-Started Guide
I didn't set out to build a content API. I set out to stop copy-pasting. Every week, the same ritual: open a doc, stare at a blank page, write a headl…
Building a Lean, Single-Worker Broken URL Monitor for Data Pipelines
The Technical Problem: Websites Drift, Pipelines Don't Know Long-running scraping pipelines have a structural assumption baked in: the URLs you config…
Accept-driven development или давайте снова понимать свой код
Наверное, через это уже прошёл каждый из нас :) Где-то после полугода очень достаточно работы с агентами я стал принимать диффы быстрее, чем успеваю р…
Writing a CLAUDE.md that Claude actually follows
TL;DR — CLAUDE.md is powerful, but most people fill it with vague preferences that Claude acknowledges and then ignores. The instructions that stick a…
Biome v1, Go 1.26, and the Quiet Modernization of Developer Tooling
This week's releases aren't chasing AI headlines — they're fixing the friction that slows down every serious codebase. Biome landed formatter options …
The Eval Gap: Your Agent Has Observability but No Idea If It's Any Good
Here's a number worth sitting with. In LangChain's 2026 State of Agent Engineering report , which surveyed more than 1,300 practitioners, 89% of teams…
I Wrote 50 Claude Code Prompts and Used Them for a Week -- Here's What Actually Works
Last week I did something dumb: I sat down and wrote 50 Claude Code prompts in one sitting. Halfway through I was sure most of them would never get us…
Ideogram 4.0 goes open-weight, Claude finds 10k vulns, and Meta's WhatsApp agent goes global
3 AI shifts builders can act on right now Three things landed that actually change what you can ship: an open-weight image model that nails text, an A…
Add a PASS/WARN/FAIL Quality Gate to Your RAG Pipeline in 30 Seconds
You deployed a RAG chatbot. The answers are vague. You bump the LLM from GPT-3.5 to GPT-4. The answers are still vague. You double the chunk size. Sti…
I changed how I write acceptance criteria, and my AI agent stopped building the wrong thing
For a while I blamed the model. The agent would build something plausible and wrong, and I would assume it needed a smarter brain. Then I went back an…
AI Coding Agents in 2026: From Pair Programming to Autonomous Teams
AI Coding Agents in 2026: From Pair Programming to Autonomous Teams Slug: ai-coding-agents-2026-stack-comparison 1. The Three Categories That Actually…
Agentic engineering patterns that survive contact with production
The interesting question about coding agents in 2026 is not whether they work. It is which patterns hold up once you point them at code that has conse…
FlameKit: An Open Source CLI for Codebase Risk Analysis
FlameKit: Analyze Git History to Find Technical Debt, Risky Files, and Refactoring Priorities ⭐ GitHub Repository: https://github.com/mrhujaifa/flamek…