AI Can Find a Bug. But Can You Trust Its Fix?

AI coding tools are getting better every day. They can write functions, generate tests, review pull requests, and even suggest fixes in seconds.

But there’s a problem I keep thinking about:

What if the AI identifies a real bug but gives you a fix that introduces another one?

A green test suite doesn't automatically mean the bug is fixed. A confident explanation doesn't prove the patch is correct. And a suggested fix that looks good in a code diff still needs independent verification.

While building CodeGuard AI, I've been exploring how to evaluate AI code reviews beyond simply counting the number of issues they detect.

I'm particularly interested in the gap between finding a problem and proving that the proposed solution works.

That's where I think developer tools have a lot of room to improve.

If you use AI coding assistants or AI-powered code reviewers, I'm curious about your experience:

I'm building in this space, so honest criticism and real-world examples would be especially valuable.

What's the biggest thing stopping you from fully trusting AI-generated code?