AI Code Review at Scale: When Your Bot Creates More Work Than It Saves
· 10 min read
Most teams that adopt an AI code reviewer go through the same arc: initial excitement, a burst of flagged issues that feel useful, then a slow drift toward ignoring the bot entirely. Within a few months, engineers have developed a muscle memory for dismissing AI comments without reading them. The tool still runs. The comments still appear. Nobody acts on them anymore.
This is not a tooling problem. It is a measurement problem. Teams deploy AI code review without ever defining what "net positive" looks like — and without that baseline, alert fatigue wins.
