# How Dub uses CodeRabbit

**100-150%** more efficient code reviews

As published on [coderabbit.ai](https://www.coderabbit.ai/case-studies/small-startup-big-ambitions-how-codeRabbit-helped-dub-reach-10M-in-partner-payouts). Captured by usedby on 2026-10-08.

- Company: [Dub](https://www.usedby.ai/companies/dub.md)
- Tool: [CodeRabbit](https://www.usedby.ai/tools/coderabbit.md)
- Teams: Engineering

## What the story says

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.

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

> 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.

- **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”

## What usedby checked

We compared the story with its live page on 2026-10-08.

- Checked: the figure 100-150% is on the page; its label is our wording.
- Checked: the passage quoted above is copied word for word from the page, near the name of Dub.
- Checked: Dub uses CodeRabbit. Confirmed line. Latest check across sources: 2026-10-08.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/dub-coderabbit · How we check: https://www.usedby.ai/methodology