47.4%
“Overall comment acceptance climbed from 37% to 47.4%”
As published on coderabbit.ai. Captured by usedby on Oct 8, 2026.
What happened
Regal uses CodeRabbit as the first automated reviewer on every pull request, including AI-generated ones from non-technical contributors, so authors get feedback before engineers review. It also uses Change Stack walkthroughs, PR summaries and diagrams, and a custom rule that flags database-migration risks.
Summary written by usedby from the source page, in English. The figures are those of CodeRabbit and Regal, not ours.
- 50.3%“Regal's overall acceptance rate reached 47.4%, with critical findings accepted at 50.3% and major findings at 46.7%.”
- 12“Harry's team codified 12 risk patterns into one CodeRabbit review rule.”
Regal's overall acceptance rate reached 47.4%, with critical findings accepted at 50.3% and major findings at 46.7%. Engineers act on about half of CodeRabbit's highest-severity findings, a strong signal that the first-pass feedback is useful rather than noise.
It just makes the organization run better that CodeRabbit exists in our workflow. And the organization would feel it if it didn't.
What the story claims, and what we checked
We compared the story with its live page on Oct 8, 2026.
- The figure: 47.4%CheckedPrinted word for word on the page, near the name of Regal.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Regal.
- Regal uses CodeRabbitCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




