Functional doesn't mean correct. That's the biggest risk with AI-generated code.

The code runs. That's not the question.

There's a failure mode with AI-generated code that's harder to catch than bugs, security holes, or performance problems. The code works. The interface looks right. The tests pass. And the system quietly solves the wrong problem.

This is different from broken code. Broken code announces itself. It throws errors, fails tests, crashes in production. You find it and fix it. The feedback loop is fast.

Code that's functional but wrong is silent. It runs perfectly while misunderstanding the actual requirement. And because it looks clean and passes every automated check, it can live in production for months before someone notices it's doing the wrong thing confidently.

Why this happens more with AI