100 hours
“In the last 30 days alone, CodeRabbit has saved an estimated 100 hours of reviewer time”
As published on coderabbit.ai. Captured by usedby on Oct 6, 2026.
What happened
Abnormal AI uses CodeRabbit to review pull requests before merge as an enforcement layer for both AI-generated and manually written code. It automatically ingests the company's markdown documentation to apply internal policies and flag issues that would otherwise fall to human reviewers.
Summary written by usedby from the source page, in English. The figures are those of CodeRabbit and Abnormal, not ours.
- 65%“Across Abnormal AI pull requests, CodeRabbit's acceptance rate for critical-severity comments is above 65%.”
- 54%“That performance translates into measurable impact across high-risk domains, with acceptance rates of 54% for functional correctness, 52% for data integrity and integration and over 40% for security and privacy.”
In the last 30 days alone, CodeRabbit has saved an estimated 100 hours of reviewer time, increasing review throughput without compromising human validation.
CodeRabbit provided a consistent enforcement layer both for AI-generated code and for engineers still writing code manually.
What the story claims, and what we checked
We compared the story with its live page on Oct 6, 2026.
- The figure: 100 hoursCheckedPrinted word for word on the page, near the name of Abnormal.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Abnormal.
- Abnormal uses CodeRabbitCheckedConfirmed line. Latest check across sources: Oct 6, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.





