Like the initial plan always sounds great and looks great. Then it goes to actually do the changes and proclaims victory after I left it alone doing other stuff, because it takes a while. Then I review what it did and what it didn't do and I inevitably find that it only did half of what it said it would do and did half of what it did do incorrectly despite what it told me what it would do.
The use case here is a large code base that needs changes. Not new feature development on a green field (or a green corner of an established product). And it's just so unbearably frustrating. It's like giving the task to a Junior on probation. I tell them something, they go off for 10 minutes and tell me they're done and I look and find seven holes I need to tell them to fix. But they aren't the Junior that picks up stuff and gets better and needs less supervision. Instead it seems like the context gets more and more polluted and the Junior gets closer and closer to failing his probation.
Many grey hairs added recently, because yeah, we also "have to be faster by using AI" now ...