I've merged plenty of AI-generated code that was genuinely fine. I've also caught myself almost merging code that looked fine and wasn't, because it read like something a competent person wrote and my brain filled in the rest.
Over the last year I've settled into a rough set of questions I run through before approving anything I didn't write line by line myself, generated or not. Here they are, in the order I actually ask them.
1. What problem is this code actually solving?
It's easy to review whether code works and skip whether it solves the right thing. AI tends to answer the literal prompt, not the intent behind it.
def get_active_users():
