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.

Session Speakers

Archie Sharma

COO at Zencoder