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Developers can interact directly with the bot within the code, offering additional context, asking questions, or even having the bot generate code. Over time,**CodeRabbit** learns from user input and improves its suggestions.

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**CodeRabbit** is an innovative, AI-powered code reviewer. It provides

context-aware review feedback on a pull request within minutes, thereby

significantly reducing the time and effort associated with manual code reviews.

Additionally, it brings a different perspective to the reviews and finds issues

often missed by the human eye. Developers can chat with the bot within the code,

which allows them to provide additional context, ask questions, or have the bot

generate code. It learns from your suggestions and gets better over time.

**CodeRabbit** seamlessly integrates with GitHub and GitLab repositories,

performing continuous, incremental reviews for each commit within a pull

request. Review feedback is sent back to the pull requests and can be directly

committed.

**CodeRabbit** integrates into code repositories using GitHub or GitLab webhooks

and monitors events related to Pull Request (PR) and Merge Request (MR) changes.

A comprehensive review is performed when a PR or MR is created, and for

incremental commits and comments addressed to the bot. The feedback is then sent

directly back to the PR or MR.


**CodeRabbit** does not use data collected during code reviews to train or

influence the models. Queries to the Large Language Models (LLMs) are ephemeral

and there is zero retention on LLMs. Neither we nor the LLMs provider(s) share

any data collected during the code review process with third parties.

Data storage: Code downloaded during the review process is temporarily stored in

memory and deleted once the review is completed. The code is not stored or used for

any other purpose. However, CodeRabbit enhances future reviews for your organization by

storing the embeddings of the learnings generated from chat conversations. Additionally,

it integrates embeddings from issues in workflow systems (Linear, Jira, GitHub/GitLab issues)

to assess the impact of code changes on existing issues.

Compliance and Data Privacy: Your data is kept confidential, isolated by the

organization, and used only to improve your organization reviews. Data storage

complies with SOC2 Type II and GDPR standards.

Opting Out: You can choose to opt out of data storage at any time. Opting out

won't affect your access but will limit the personalization of the reviews.

It works via GitHub/GitLab webhooks, monitoring Pull Request (PR) and Merge Request (MR) events. A comprehensive review is performed when a PR or MR is created, and for

incremental commits and comments addressed to the bot. The feedback is then sent directly back to the Pull Request or Merge Request.

![CodeRabbit Code Review Flow showing how AI integrates with GitHub and GitLab for continuous pull request feedback.](/img/about/coderabbit-flow.png"CodeRabbit Code Review Flow")

-**Temporary Storage**: Code is temporarily stored in memory during the review process and deleted afterward.

-**Stored Embeddings**: While the code itself isn’t stored,**CodeRabbit** stores embeddings based on chat conversations and workflow systems (Linear, Jira, GitHub/GitLab issues) to improve future reviews.

-**Compliance**: All data is kept confidential, isolated by organization, and complies with**SOC2 Type II** and**GDPR** standards.

You can opt out of data storage at any time without affecting your access to**CodeRabbit**.

However, opting out may reduce the level of personalized review feedback.

For open source projects CodeRabbit Pro is**_FREE_**, forever.

- No credit card required

- Unlimited public repositories

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<ahref="https://app.coderabbit.ai/login"className="button button--primary button--lg">Start reviewing PR Now</a>

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