This is a summary of a conference talk by Eno Reyes from Factory AI about preparing codebases for AI agent integration. Watch the original video
The talk focuses on how organizations can prepare their codebases to maximize the effectiveness of AI coding agents. The key insight is that the limiting factor for AI agent success isn't the agents themselves, but rather the quality and comprehensiveness of automated validation in your codebase. By investing in rigorous validation criteria—tests, linters, documentation, and other automated checks—organizations can unlock 5-7x productivity gains rather than just 1.5-2x improvements.