Comment by bonoboTP
6 hours ago
My problem is that it "finds issues" all the time and it never really ends. You go through the list, make a decision on how to go about it, give it back to the AI, it does the changes, you ask for issues again, there are now new issues in part due to the solutions from the previous fixes, now you again assess each issue and it's often valid but you have to ask yourself if it's worth fixing right now and whether the fix is worth the complexity for a super rare edge case, depending on the type of prpgram you make, and often the assessment of what's high or low priority is not great by the AI.
So to me this loop really never properly ends so it never feels like I'm done. Which is not great from a psychological point of view.
I find that to not get into this doom loop is to make sure the solution is not overengineered in the first place. AI will pile on complexity to infinity unless you actively gate it.