Comment by keeda

I dunno, I have extensive experience reviewing code, and I still review all the AI generated code I own, and I find nothing to complain about in the vast majority of cases. I think it is based on "holding it right."

For instance, I've commented before that I tend to decompose tasks intended for AI to a level where I already know the "shape" of the code in my head, as well as what the test cases should look like. So reviewing the generated code and tests for me is pretty quick because it's almost like reading a book I've already read before, and if something is wrong it jumps out quickly. And I find things jumping out more and more infrequently.

Note that decomposing tasks means I'm doing the design and architecture, which I still don't trust the AI to do... but over the years the scope of tasks has gone up from individual functions to entire modules.

In fact, I'm getting convinced vibe coding could work now, but it still requires a great deal of skill. You have to give it the right context and sophisticated validation mechanisms that help it self-correct as well as let you validate functionality very quickly with minimal looks at the code itself.