Your codebase is NOT ready for AI (here's how to fix it)

AI's integration into codebases reveals that software quality, particularly codebases' ease of modification, significantly impacts AI's effectiveness. Many codebases aren't ready for AI due to issues like slow feedback loops and difficulties in navigating the code. The speaker advocates for deep modules—extensive implementations controlled by simple interfaces—to create navigable, testable systems. These "gray box modules" allow developers to delegate internal module control to AI, focusing instead on designing interfaces and their interactions. This approach enhances code base navigability, reduces cognitive burnout by simplifying the mental map, and aligns with established software design practices, making the code more accessible for both humans and AI.