LLMs are still not good at structurally hard problems, and it is doubtful they ever will be absent some drastic extension. (Including continuous learning). In the mean time the trick is creating a framework where you can walk them through the exact stages you would to do it, only it goes way faster. The problem is many people stop at the first iteration that looks like it works and then move on, but you have to keep pushing in the same way you do with humans.

Bluntly though, if what you were doing was CRUD boilerplate then yeah it is going to just be a review fest now, but that kind of work always was just begging to be automated out one way or another.