A developer added an AI reviewer to a small Node and React project expecting an easy win.
At first, the comments looked useful. Then the reviewer started repeating style complaints, commenting on code that had already changed, and missing a misplaced null check that crashed the application in staging.
The team still had to perform a complete human review.
That experience, shared in a public DevOps discussion, captures the real question engineering leaders should ask before adding an AI reviewer to every pull request:
Did the reviewer remove work from the team, or did it create another thing the team had to review?