Score AI and human PRs for real quality.

The moment AI agents joined your team, PR volume stopped meaning anything. A coding agent can open twenty pull requests before lunch, and a velocity dashboard will happily call that a great day. But throughput is not the same as shipping something that works.

AI code review scores what actually matters: is the change correct, is it tested, is it readable, and how much of the system does it put at risk? FeatureFactory applies one rubric to every PR - human or machine - so a merge earns its place on the strength of the code, not the length of the diff.

That honesty compounds. When quality is measured, low-effort merges stop hiding inside impressive-looking activity, and your team can trust that a green pipeline reflects real engineering. Start with our measure product or read the AI code quality guide.

The interesting question is no longer "how much did we ship" - it is "does AI-generated code hold up next to human code?" You can only answer that if both are judged by the same standard.

FeatureFactory runs an AI review pass over every diff, then scores it on correctness signals, test coverage, and downstream churn. Because the rubric is identical for a Claude Code PR and a hand-written one, you get an apples-to-apples verdict instead of a vibe. Dig into the numbers on PR quality analytics or the code quality dashboard.

Teams use this to decide where AI belongs: which repos it excels in, which changes still need a human first, and which tools are quietly generating rework. It turns "we use AI" into a measured, defensible engineering practice. Compare the approach against tools like Code Climate Velocity.