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This repository was archived by the owner on Aug 16, 2025. It is now read-only.

Commit44f57e0

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Update FAQ with CodeRabbit comparison and CodeRabbit's uniqueness
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‎docs/faq.md‎

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@@ -47,6 +47,24 @@ CodeRabbit currently utilizes OpenAI's `gpt-4-turbo` and `gpt-3.5-turbo`. We're
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researching and testing upcoming LLMs to ensure we're offering the most precise
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reviews possible.
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####How does CodeRabbit compare to other AI code generators?
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Code reviews remain essential, whether the code is written by a human or a bot.
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This is mainly because the perspective of the reviewer differs from that of the
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code generator, whether human or machine. This distinction is precisely why
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human peer reviews have been effective for so long. While AI-powered
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code-generation tools like GitHub Copilot hold immense potential, it's important to recognize that
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these generators are still in their early stages and may not be equipped to
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auto-generate meaningful code for moderately complex applications.
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####How is CodeRabbit different from other code review tools?
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Traditional code review tools excel in linting and static analysis, but they
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fall short in providing context-aware, conversational feedback with actionable
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suggestions for changes that can be directly committed. On the other hand,
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**CodeRabbit** leverages AI to understand the intent behind the code changes and
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provide human-like feedback for applying the best practices.
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###Subscription
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####Can a CodeRabbit subscription be used across multiple organizations?

‎docs/introduction.md‎

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---
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id:introduction
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title:What is CodeRabbit?
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title:Introduction
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sidebar_label:Introduction
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sidebar_position:1
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description:
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slug:"/"
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---
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<iframewidth="560"height="315"src="https://www.youtube.com/embed/3SyUOSebG7E?si=i0oT9RAnH0PW81lY"title="YouTube video player"frameBorder="0"allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"referrerPolicy="strict-origin-when-cross-origin"allowFullScreen></iframe>
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**CodeRabbit** is an innovative, AI-first code reviewer. It provides
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context-aware review feedback on a pull request within minutes, thereby
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significantly reducing the time and effort associated with manual code reviews.
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request. Review feedback is sent back to the pull requests and can be directly
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committed.
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<iframewidth="560"height="315"src="https://www.youtube.com/embed/3SyUOSebG7E?si=i0oT9RAnH0PW81lY"title="YouTube video player"frameBorder="0"allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share"referrerPolicy="strict-origin-when-cross-origin"allowFullScreen></iframe>
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**CodeRabbit** integrates into code repositories using GitHub or GitLab webhooks
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and monitors events related to Pull Request (PR) and Merge Request (MR) changes.
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A comprehensive review is performed when a PR or MR is created, and for
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Opting Out: You can choose to opt out of data storage at any time. Opting out
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won't affect your access but will limit the personalization of the reviews.
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##CodeRabbit with other AI code generators
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Code reviews remain essential, whether the code is written by a human or a bot.
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This is mainly because the perspective of the reviewer differs from that of the
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code generator, whether human or machine. This distinction is precisely why
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human peer reviews have been effective for so long. While AI-powered
63-
code-generation tools like GitHub Copilot hold immense potential, it's important to recognize that
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these generators are still in their early stages and may not be equipped to
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auto-generate meaningful code for moderately complex applications.
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##CodeRabbit is different
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Traditional code review tools excel in linting and static analysis, but they
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fall short in providing context-aware, conversational feedback with actionable
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suggestions for changes that can be directly committed. On the other hand,
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**CodeRabbit** leverages AI to understand the intent behind the code changes and
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provide human-like feedback for applying the best practices.

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