# How CloudTalk uses CodeRabbit

As published on [coderabbit.ai](https://www.coderabbit.ai/case-studies/how-cloudtalk-built-coderabbit-into-its-multi-agent-development-workflow). Captured by usedby on 2026-10-19.

- Company: [CloudTalk](https://www.usedby.ai/companies/cloudtalk.md)
- Tool: [CodeRabbit](https://www.usedby.ai/tools/coderabbit.md)
- Teams: Engineering, Infrastructure

## What the story says

CloudTalk uses CodeRabbit's CLI, VS Code extension and pull request reviews so developers and internal AI coding agents can check code locally and address review findings before a developer approves a change. Agents evaluate CodeRabbit's fix prompts and implement applicable fixes, with reviews informed by CloudTalk's architecture documentation.

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

> CodeRabbit reviews the proposed change. The internal agent waits for the review to finish, then evaluates the findings. It can implement a suggested fix using CodeRabbit's guidance, defer a question to a human, or determine that a proposed change is unnecessary for the task.

> So it definitely speeds up the code review process.
>
> Filip Prošovský, Head of infrastructure

Source: [coderabbit.ai](https://www.coderabbit.ai/case-studies/how-cloudtalk-built-coderabbit-into-its-multi-agent-development-workflow), captured 2026-10-19.

## What usedby checked

We compared the story with its live page on 2026-10-19.

- Checked: the passage quoted above is copied word for word from the page, near the name of CloudTalk.
- Checked: CloudTalk uses CodeRabbit. Confirmed line. Latest check across sources: 2026-10-19.
- Not checked: the result itself. We quote it; we did not measure it.

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