Other people's AI generated code. They don't understand it, it's over engineered, it looks right at first glance but turns out to be full of subtle bugs. At least that's pretty much universally been my experience.

What could be done about it? Hard to tell. I think actually productive use cases of generative AI for software development exist, I spend a lot of time with Claude every day. But I don't generate code, examples maybe, mostly I use it as a first (but not only) tool for research.

I think a lot of tooling could be built around generative AI providing reviews for human code, rather than it generating code for humans to review.

I'm pretty confident we'll get to a good place with a set of good practices and good tooling. But right now, it's pretty terrible, and my only solution at the moment is to not work with anyone who AI generates code. Luckily I'm in a position to enforce that, not everybody is.