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I've realised that agents are doing better code reviews than me lately, they can catch more logic issues, performance issues, etc. Now, I focus on whether the intent/objective is addressed and leave the rest to a review agent.
Honestly, when the context is set up properly, GPT’s top models are just smarter. That’s been true for a long time.
I think the part that often gets overlooked about code review is that it is useful for maintaining knowledge of the codebase for the reviewer.

I know our codebase like the back of my hand specifically because I'm reviewing almost every PR going into it.