100-150%
more efficient code reviews
Tal como se publicó en coderabbit.ai. Capturado por usedby el 8 oct 2026.
Qué pasó
Dub, a five-person startup building affiliate and referral management software, uses CodeRabbit as an automated code reviewer on its GitHub pull requests. It acts as the final review layer before code reaches production in its payments and partner payout product.
Resumen escrito por usedby a partir de la página de origen, en inglés. Las cifras son de CodeRabbit y de Dub, no nuestras.
- 48.3%“Across Dub’s use of CodeRabbit, the platform achieved an overall acceptance rate of 48.3%, meaning nearly half of CodeRabbit’s suggestions were accepted by developers.”
- 42.1%“Acceptance was especially strong on high-value findings, including 42.1% for critical issues and 40.9% for major issues, with 44.1% acceptance for minor issues.”
- 53.9%“53.9% for performance and scalability”
Tey said his team is 100% to 150% more efficient when it comes to code reviews. Without CodeRabbit, he said, reviewing a PR that currently takes him one pass would require two to three times the effort, or more.
Lo que dice la historia, y lo que verificamos
Comparamos la historia con su página en línea el 8 oct 2026.
- La cifra: 100-150%VerificadoLa cifra está en la página; su etiqueta es redacción nuestra.
- El pasaje citado arribaVerificadoCopiado palabra por palabra de la página, cerca del nombre de Dub.
- Dub usa CodeRabbitVerificadoLínea de nivel Confirmado. Última verificación entre todas las fuentes: 8 oct 2026.
- El resultado en síNo verificadoLo citamos; no lo medimos.




