3 articles on AI engineering, architecture, and the craft of building with AI.
AI coding promises 10×. The real story: 10× tactical throughput, roughly 1× strategic judgment. A 5-layer governance framework for what actually breaks when you push AI coding past a single repo and a single sprint — and the order that matters for adopting it.
AI coding agents write code and say 'Done' — but Done ≠ working. The fix isn't better prompts. It's an automated QA agent that opens browsers, hits APIs, and queries databases before letting your coder finish.
AI coding assistants agree with everything you say. Prompt engineering won't fix it — the flaw is structural. Here's the verification-first workflow I use to ship reliable code anyway.