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53%

“testRigor engineers accepted 53% of CodeRabbit's review comments”

As published on coderabbit.ai. Captured by usedby on Oct 8, 2026.

What happened

testRigor uses CodeRabbit as an automated, context-aware first review of each pull request, sitting above its linters and before mandatory human sign-off. It catches bugs, security and code-quality issues so senior engineers can focus on business logic and architecture.

Summary written by usedby from the source page, in English. The figures are those of CodeRabbit and testRigor, not ours.

  • 56.4%“Critical issues represented 56.4% of accepted comments.”
  • 15“testRigor evaluated more than 15 AI code-review tools.”

Very low level, you have linters that catch the very basic things. And on a higher level, we have CodeRabbit that can do significantly more sophisticated and better stuff that linters just are not capable of catching.

From the page. coderabbit.ai, captured Oct 8, 2026

CodeRabbit is really helpful. Sometimes it realizes things that a human misses.

Enzo Biancato, CTO and co-founder, testRigor. Source, captured Oct 8, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 8, 2026.

  • The figure: 53%CheckedPrinted word for word on the page, near the name of testRigor.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of testRigor.
  • testRigor uses CodeRabbitCheckedConfirmed line. Latest check across sources: Oct 8, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

50%of production time savedMiro uses Runway. Same industry: DevTools & Infrastructure$7.23M“Those 124 meetings have generated $7.23M in pipeline”Stream uses Amplemarket. Same industry: DevTools & Infrastructure34%“ticket resolution time improved up to 34%”Notion uses Decagon. Same industry: DevTools & Infrastructure