What good declarative AI agent design actually looks like — the patterns, the constraints, and the failures that shaped a library of 71 production-ready Copilot Studio agents. Most AI agent tutorials start with code. Python, LangChain, API calls, to...

I keep noticing the same split on every engineering team I talk to. There's the developer who treats AI as autocomplete. Tab-completes everything. Ships fast, debugs slow. Opens a PR with 400 lines and can't explain what half of them do. When someth...

Every AI coding tool benchmark tests the same things. Autocomplete accuracy. Code generation. Refactoring. Test generation. Maybe a LeetCode problem for good measure. Not a single one tests the work infrastructure engineers actually do. I spend my ...

I work in AI deployment for enterprise. Over the past year I've watched the same pattern play out on every team that adopted AI coding tools. First two months: velocity is up, everyone's excited, PRs are flying. Month three or four: someone gets page...

Claude Code quietly shipped agent teams as an experimental feature. The idea is simple: instead of one AI agent working through your task sequentially, you spin up multiple agents that work in parallel, communicate with each other, and coordinate thr...