83%
“achieving 83% faster pull request cycles”
As published on bito.ai, September 2025. Captured by usedby on Oct 4, 2026.
What happened
Apica's engineering team uses Bito's AI Code Review Agent to flag issues in pull requests before human review, across GitHub and Bitbucket. This reduces the review load on a small group of reviewers and helps catch bugs earlier.
Summary written by usedby from the source page, in English. The figures are those of Bito and Apica, not ours.
- 530+“530+ PRs reviewed”
- 271,780+“271,780+ lines of code analyzed”
- 330+“330+ issues flagged by Bito”
- 54.1%“54.1% acceptance rate of Bito’s suggestions”
Before Bito, reviewing a PR could take an hour or more. Now, submitters fix most issues before a human reviewer sees the code. This means reviewers spend only 10 to 20 minutes on most PRs, even for large ones.
Bito gives targeted, context-aware feedback that reduces the load on reviewers and improves overall quality. It’s a valuable part of our daily development workflow.
What the story claims, and what we checked
We compared the story with its live page on Oct 4, 2026.
- The figure: 83%CheckedPrinted word for word on the page, near the name of Apica.
- The passage quoted aboveCheckedCopied word for word from the page, near the name of Apica.
- The publication dateCheckedRead from the page’s own metadata, never guessed.
- Apica uses BitoCheckedConfirmed line. Latest check across sources: Oct 4, 2026.
- The result itselfNot checkedWe quote it; we did not measure it.




