Apr 29, 2025 · Apr 23, 2025 · Apr 23, 2025 · Apr 24, 2025 · Apr 24, 2025 · Apr 29, 2025
diff --git a/docs/overview/introduction.md b/docs/overview/introduction.md
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 ##What is CodeRabbit?
 #Introduction

 >**CodeRabbit** is an AI-powered code reviewer that delivers context-aware feedback on pull requests within minutes, reducing the time and effort needed for manual code reviews. It provides a fresh perspective and catches issues that are often missed, enhancing the overall review quality.
 This page provides a conceptual introduction to CodeRabbit. For a hands-on tutorial, see[Quickstart](/getting-started/quickstart/).

 Developers can interact directly with the bot within the code, offering additional context, asking questions, or even having the bot generatecode. Over time,**CodeRabbit** learns from user inputandimproves its suggestions.
 **CodeRabbit** is an AI-powered code reviewer that delivers context-aware feedback on pull requests within minutes, reducing the time and effort needed for manualcode reviews. It complements manual reviews by providing a fresh perspectiveandcatching issues that manual reviews often miss, enhancing the overall review quality.

 :::tip
 See CodeRabbit in action and watch the demo video below to see how it delivers real-time, context-aware feedback on your pull requests in just a few minutes.
 :::
 Developers can interact directly with the CodeRabbit bot within their existing Git platform's pull request interface to add context, ask questions, or even have the bot generate code. Over time, CodeRabbit learns from user input and improves its suggestions.

 <divclass="video-container">
  <iframesrc="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>
 </div>

 ##Integration with GitHub, GitLab and Azure DevOps
 ##Core features

 >**CodeRabbit** integrates with GitHub, GitLab and Azure DevOps repositories to deliver continuous and incremental reviews for each commit in a pull request (PR) or merge request (MR). Review feedback is automatically sent back tothePR/MR and can be committed directly.
 CoreCodeRabbit features includethefollowing:

 It works via a webhook, 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.
 - Integrates rapidly with popular Git platforms and workflows.
 - Applies dozens of open-source, industry-standard code analyzers to every commit.
 - Implements code reviews as familiar pull-request comments.
 - Works with contributors through natural-language conversation in comments.
 - Learns and adapts to your team's code style and review preferences.
 - Provides an observability dashboard of code-contribution activity.
 - Practices strong privacy and security, with no retention of analyzed code.
 - Offers free use for public repositories, and flexible pricing for private codebases.

 ![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")
 ##Seamless workflow integration

 ##Data Privacy and Security
 CodeRabbit shares its reviews as comments attached to pull requests, using the same Git platform that your team already uses. Further commits in the same pull review prompt CodeRabbit to make further reviews, using the earlier reviews as context.

 >**CodeRabbit** does not use data collected from code reviews to train or influence its models. All queries to Large Language Models (LLMs) are ephemeral, with zero retention. No data is shared with third parties.
 Each time that it performs a code review, CodeRabbit runs the relevant code changes through[an array of industry-standard code linters, security analyzers, and other tools](/tools/). CodeRabbit synthesizes the output of these tools into its reviews, offering a high-level analysis that can suggest areas for further focus and improvement.

 -**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.
 Your team can have conversations with CodeRabbit about its reviews by replying to it with follow-up comments on pull requests, asking it questions or making observations about the review using natural language. CodeRabbit continues the conversation appropriately, offering further insights about the code changes, or adjusting its own review style based on feedback.

 ###Opting Out
 ###Customizable review preferences

 You can opt out of data storage at any time without affecting your access to**CodeRabbit**.
 :::warning
 However, opting out may reduce the level of personalized review feedback.
 :::
 As you interact with CodeRabbit through chat, it learns the review preferences of your team, and applies them to all future reviews on a given repository.

 ##TryCodeRabbitNow
 For example, ifCodeRabbituses a linter to suggest that your pull request use four-space indentations, but your team uses a two-space indentation style, then you can reply to CodeRabbit's pull-request comment to tell it exactly that. CodeRabbit acknowledges your feedback and adjusts all of its subsequent reviews with that repository appropriately.

 >Readytoexperience**CodeRabbit** in action?
 For a video introductiontothis feature, see[CodeRabbit Learnings](https://www.youtube.com/watch?v=Yu0cmmOYA-U).

 :::tip
 For open source projects CodeRabbit Pro is**_FREE_**, forever.
 If you need to fine-tune CodeRabbit's behavior beyond this, then you can[add a CodeRabbit-specific configuration file](/getting-started/configure-coderabbit) to your repository, or use the CodeRabbit web UI to set further preferences. This file can include[path-based instructions](/guides/review-instructions) for how CodeRabbit should review different files within your codebase.

 - No credit card required
 - Unlimited public repositories
 No matter how you tune and customize CodeRabbit, its default settings make it useful out of the box, able to meaningfully review pull requests within minutes of its introduction to a repository.

 :::
 ###Platform integration options

 <divstyle={{textAlign:'left',marginTop:'20px'}}>
  <ahref="https://app.coderabbit.ai/login"className="button button--primary button--lg">Start reviewing PR Now</a>
 </div>
 CodeRabbit integrates in just a few clicks with many popular Git platforms:

 - GitHub, including GitHub Enterprise Server
 - GitLab, including self-managed GitLab
 - Azure DevOps
 - Bitbucket Cloud

 In addition, CodeRabbit can integrate with a number of popular workflow systems:

 - Jira
 - Linear
 - CircleCI

 ##Data privacy and security

 CodeRabbit does not use data collected from code reviews to train or influence its models. All queries to large language models (LLMs) are ephemeral, with zero retention. No data is shared with third parties.

 -**Temporary Storage**: CodeRabbit temporarily stores your code in memory during the review process, and deletes it afterward.
 -**Stored Embeddings**: While CodeRabbit doesn't store your code, it does store 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. Opting out might reduce the level of personalized review feedback that CodeRabbit can provide you.

 ##Flexible pricing, free for public use

 Public repositories can use the Pro tier of CodeRabbit at no charge, including all of the code-review features described on this page. Rate limits might apply.

 For private repositories, a number of pricing tiers are available. These range from a Free tier that offers unlimited code-change summaries, to an Enterprise tier with access to advanced features and SLA support. For more information, see[Pricing](https://www.coderabbit.ai/pricing).

 ##What's next

 -[Quickstart](/getting-started/quickstart/) lets you experience your first CodeRabbit code review first-hand.

 -[Why CodeRabbit?](/overview/why-coderabbit) dives further into the philosophies and technologies that drive CodeRabbit.
Original file line number	Diff line number	Diff line change
Expand Up		@@ -9,56 +9,84 @@ description:
		slug:"/"
		---

		##What is CodeRabbit?
		#Introduction

		>CodeRabbit is an AI-powered code reviewer that delivers context-aware feedback on pull requests within minutes, reducing the time and effort needed for manual code reviews. It provides a fresh perspective and catches issues that are often missed, enhancing the overall review quality.
		This page provides a conceptual introduction to CodeRabbit. For a hands-on tutorial, see[Quickstart](/getting-started/quickstart/).

		Developers can interact directly with the bot within the code, offering additional context, asking questions, or even having the bot generatecode. Over time,CodeRabbit learns from user inputandimproves its suggestions.
		CodeRabbit is an AI-powered code reviewer that delivers context-aware feedback on pull requests within minutes, reducing the time and effort needed for manualcode reviews. It complements manual reviews by providing a fresh perspectiveandcatching issues that manual reviews often miss, enhancing the overall review quality.

		:::tip
		See CodeRabbit in action and watch the demo video below to see how it delivers real-time, context-aware feedback on your pull requests in just a few minutes.
		:::
		Developers can interact directly with the CodeRabbit bot within their existing Git platform's pull request interface to add context, ask questions, or even have the bot generate code. Over time, CodeRabbit learns from user input and improves its suggestions.

		<divclass="video-container">
		<iframesrc="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>
		</div>

		##Integration with GitHub, GitLab and Azure DevOps
		##Core features

		>CodeRabbit integrates with GitHub, GitLab and Azure DevOps repositories to deliver continuous and incremental reviews for each commit in a pull request (PR) or merge request (MR). Review feedback is automatically sent back tothePR/MR and can be committed directly.
		CoreCodeRabbit features includethefollowing:

		It works via a webhook, 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.
		- Integrates rapidly with popular Git platforms and workflows.
		- Applies dozens of open-source, industry-standard code analyzers to every commit.
		- Implements code reviews as familiar pull-request comments.
		- Works with contributors through natural-language conversation in comments.
		- Learns and adapts to your team's code style and review preferences.
		- Provides an observability dashboard of code-contribution activity.
		- Practices strong privacy and security, with no retention of analyzed code.
		- Offers free use for public repositories, and flexible pricing for private codebases.

		![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")
		##Seamless workflow integration

		##Data Privacy and Security
		CodeRabbit shares its reviews as comments attached to pull requests, using the same Git platform that your team already uses. Further commits in the same pull review prompt CodeRabbit to make further reviews, using the earlier reviews as context.

		>CodeRabbit does not use data collected from code reviews to train or influence its models. All queries to Large Language Models (LLMs) are ephemeral, with zero retention. No data is shared with third parties.
		Each time that it performs a code review, CodeRabbit runs the relevant code changes through[an array of industry-standard code linters, security analyzers, and other tools](/tools/). CodeRabbit synthesizes the output of these tools into its reviews, offering a high-level analysis that can suggest areas for further focus and improvement.

		-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 withSOC2 Type II andGDPR standards.
		Your team can have conversations with CodeRabbit about its reviews by replying to it with follow-up comments on pull requests, asking it questions or making observations about the review using natural language. CodeRabbit continues the conversation appropriately, offering further insights about the code changes, or adjusting its own review style based on feedback.

		###Opting Out
		###Customizable review preferences

		You can opt out of data storage at any time without affecting your access toCodeRabbit.
		:::warning
		However, opting out may reduce the level of personalized review feedback.
		:::
		As you interact with CodeRabbit through chat, it learns the review preferences of your team, and applies them to all future reviews on a given repository.

		##TryCodeRabbitNow
		For example, ifCodeRabbituses a linter to suggest that your pull request use four-space indentations, but your team uses a two-space indentation style, then you can reply to CodeRabbit's pull-request comment to tell it exactly that. CodeRabbit acknowledges your feedback and adjusts all of its subsequent reviews with that repository appropriately.
jmacdotorg marked this conversation as resolved. Show resolvedHide resolved

		>ReadytoexperienceCodeRabbit in action?
		For a video introductiontothis feature, see[CodeRabbit Learnings](https://www.youtube.com/watch?v=Yu0cmmOYA-U).

		:::tip
		For open source projects CodeRabbit Pro is_FREE_, forever.
		If you need to fine-tune CodeRabbit's behavior beyond this, then you can[add a CodeRabbit-specific configuration file](/getting-started/configure-coderabbit) to your repository, or use the CodeRabbit web UI to set further preferences. This file can include[path-based instructions](/guides/review-instructions) for how CodeRabbit should review different files within your codebase.

		- No credit card required
		- Unlimited public repositories
		No matter how you tune and customize CodeRabbit, its default settings make it useful out of the box, able to meaningfully review pull requests within minutes of its introduction to a repository.

		:::
		###Platform integration options

		<divstyle={{textAlign:'left',marginTop:'20px'}}>
		<ahref="https://app.coderabbit.ai/login"className="button button--primary button--lg">Start reviewing PR Now</a>
		</div>
		CodeRabbit integrates in just a few clicks with many popular Git platforms:

		- GitHub, including GitHub Enterprise Server
		- GitLab, including self-managed GitLab
		- Azure DevOps
		- Bitbucket Cloud

		In addition, CodeRabbit can integrate with a number of popular workflow systems:

		- Jira
		- Linear
		- CircleCI

		##Data privacy and security

		CodeRabbit does not use data collected from code reviews to train or influence its models. All queries to large language models (LLMs) are ephemeral, with zero retention. No data is shared with third parties.

		-Temporary Storage: CodeRabbit temporarily stores your code in memory during the review process, and deletes it afterward.
		-Stored Embeddings: While CodeRabbit doesn't store your code, it does store 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. Opting out might reduce the level of personalized review feedback that CodeRabbit can provide you.

		##Flexible pricing, free for public use

		Public repositories can use the Pro tier of CodeRabbit at no charge, including all of the code-review features described on this page. Rate limits might apply.

		For private repositories, a number of pricing tiers are available. These range from a Free tier that offers unlimited code-change summaries, to an Enterprise tier with access to advanced features and SLA support. For more information, see[Pricing](https://www.coderabbit.ai/pricing).

		##What's next

		-[Quickstart](/getting-started/quickstart/) lets you experience your first CodeRabbit code review first-hand.

		-[Why CodeRabbit?](/overview/why-coderabbit) dives further into the philosophies and technologies that drive CodeRabbit.