Everyone is letting AI agents “run” now. Most of them are drifting.
After two decades scaling SaaS and now building AI coding agents used on real enterprise codebases, I’ve learned a hard truth: autonomy without structure fails—expensively.

In this talk, I’ll break down:
- Why prompt-driven AI collapses the moment you have shared repos
- The difference between looping and orchestrating agents
- Why specs, verification, and context—not bigger models—are the real unlock
- How teams move from AI copilots to AI coworkers without losing trust or control

This is a practical, engineering-first look at what actually works when AI touches production code.