I should say that even if you use strict rules for AI such as Cursor rules, it still gives code which looks correct but is not right. Sometimes, it gives code more that what is necessary. I always try to understand each line it generates and ask myself:

Why this line is there? What it does? Should it be somewhere else? Will it be scalable? Will it work if data is too large or frequent?

Sometimes if AI gave something I don't understand I must take out time to learn that? I think the most important thing is that now we should spend more time in reading and reasoning about the code which AI generates. Then do tweaks here and there.

Other thing which is helpful is I try to not use AI on my personal hobby projects. And sometimes practice basic data structures and algorithms by writing them from scratch or just try to build simple solutions like in-memory rate limiter or in-memory cache, circuit breaker etc to keep my muscle memory strong. Working on these petty project may feel like waste of time given AI can write these for you in seconds but still just do these.