For me, the main thing is to never have it write anything based on the goal (what the end result should look like and how it should behave). And only on the implementation details (and coding practices that I like).

Sure it is not as fast to understand as code I wrote. But at least I mostly need to confirm it followed how it implemented what I asked. Not figuring out WHAT it even decided to implement in the first place.

And in my org, people move around projects quite a bit. Hasn’t been uncommon for me to jump in projects with 50k+ lines of code a few times a year to help implement a tricky feature, or help optimize things when it runs too slow. Lots of code to understand then. Depending on who wrote it, sometimes it is simple: one or two files to understand, clean code. Sometimes it is an interconnected mess and imho often way less organized that Ai generated code.

And same thing for the review process, lots of having to understand new code. At least with AI you are fed the changes a a slower pace.