AI Agent stack you need Context, Auth, and Cognitive Debt

Most AI content teaches you how to write prompts. This is not that. I've spent three years at Ona building platform infrastructure for 1.7 million developers. I'm the first independent maintainer of OpenFGA , the CNCF authorization system based on Google's Zanzibar paper. I built Distill, a context deduplication library that cuts token usage by 30-40% in 12ms. I wrote an essay on AI fatigue that hit #1 on Hacker News, got covered by Business Insider, Futurism, and The New York Times, and was cited by the Hard Fork podcast. I wrote down everything I learned from that work. The result is the Agentic Engineering Guide : 216 pages, 33 chapters, covering the full stack from context engineering to agent governance. But before you decide whether to read it, let me give you the most useful parts for free. The thing that breaks first When teams move from Level 2 (chat agents) to Level 3 (agents that actually execute code, call APIs, write files), the first thing that breaks is not the model. It