Make sense of your technology decisions.

RAG isn't a universal solution, it's a precision tool. How to decide if your project needs it, how it actually works, and how to avoid the mistakes that break it.

An AI agent doesn't crash: it hallucinates, loops, picks the wrong tool, and still returns 200 OK. How we built observability for our agents' reasoning.

Full autonomy is a risk on critical actions. How to add human-in-the-loop checkpoints to your AI agent workflows, with a real example from TowerZ.

Multi-agent coding architecture at Automathing: one orchestrator per project, specialized AI coding agents, and rules written from real errors.