Why AI Coding Speed Is Creating Control Debt

I keep seeing people brag about how much code their AI agents wrote for them overnight. But when you look closer at the community discussions, the hangover is starting to set in. One developer on Reddit recently admitted they no longer understand than 47% of their own app's codebase. They shipped features incredibly fast, but the cost was losing their mental model of the system. This is the mistake people make when they treat AI as a pure velocity multiplier: speed without control is just legacy code arriving faster. The real bottleneck isn't getting agents to write code.