Code review is one of the slowest parts of getting things done as an engineer. I can write code quite fast without AI but that can't speed up the code review.

I'm now regularly using AI to do a "pre code review" before getting the humans on my team to do the formal code review.

It catches obvious things, saving lots of back and forth with the reviewers and cutting delivery time back by days. It has also caught a couple of bugs, which I then fixed, saving even more days of back and forth.

I'm also using it to review others code, to help me spot bugs. It spotted an obscure one related to inconsistent dynamodb column naming in some rushed code during an incident, which I then pointed out, preventing a second incident. It was a 1000 line PHP file, with the inconsistent names far away from each other.

Using git cli on Linux, it's quite simple

`xclip -sel clip | git diff develop...feature/my-branch`. Copies the entire diff to my clipboard, then I paste it into a logic model like o3 to do the code review.