# How EarnIn uses CodeRabbit

**12 weeks**: “CodeRabbit saved approximately 12 weeks of human reviewer effort.”

As published on [coderabbit.ai](https://www.coderabbit.ai/case-studies/earnin-scales-regulated-code-review-with-coderabbit-after-choosing-buy-over-build). Captured by usedby on 2026-10-08.

- Company: [EarnIn](https://www.usedby.ai/companies/earnin.md)
- Tool: [CodeRabbit](https://www.usedby.ai/tools/coderabbit.md)
- Industry: [Fintech & Payments](https://www.usedby.ai/companies/industry/fintech-payments.md)
- Teams: Platform Engineering, iOS, Android, Backend

## What the story says

EarnIn uses CodeRabbit as an automated first-pass reviewer on pull requests across hundreds of GitHub repositories. It is combined with central configuration, repository-level guidance, and AST-grep rules so human reviewers can focus on architecture and risk in a regulated financial services environment.

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

> Across the same period, CodeRabbit saved approximately 12 weeks of human reviewer effort. For a distributed engineering organization operating hundreds of repositories, that recovered capacity creates more room for design discussions, platform work, and production readiness.

- **60%**: “CodeRabbit reviewed that stream with more than 8,000 comments and an overall acceptance rate of approximately 60%.”
- **5,000**: “Over a recent 90-day period, EarnIn merged more than 5,000 pull requests across hundreds of active repositories.”
- **1,000**: “In the first few weeks of the proof of concept, CodeRabbit reviewed more than 1,000 pull requests, and EarnIn engineers were already accepting a meaningful share of its suggestions.”
- **1.5 comments**: “CodeRabbit averaged roughly 1.5 comments per pull request, compared with roughly 2.0 comments from human reviewers.”

> CodeRabbit scales reviews across hundreds of engineers and repos in a way manual review processes simply cannot. The measurable outcomes are real: solid acceptance ratios, quantified time savings, and consistent first-pass coverage for every PR.
>
> Kashyap Parikh, Head of Platform Engineering at EarnIn

Source: [coderabbit.ai](https://www.coderabbit.ai/case-studies/earnin-scales-regulated-code-review-with-coderabbit-after-choosing-buy-over-build), captured 2026-10-08.

## What usedby checked

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

- Checked: the figure 12 weeks is printed word for word on the page, near the name of EarnIn.
- Checked: the passage quoted above is copied word for word from the page, near the name of EarnIn.
- Checked: EarnIn 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/earnin-coderabbit · How we check: https://www.usedby.ai/methodology