GitHub Copilot

AI CODE CREATIONGitHub CopilotWrite better code with AIGitHub Copilot appDirect agents from issue to mergeMCP RegistryIntegrate external toolsDEVELOPER WORKFLOWSActionsAutomate any workflowCodespacesInstant dev environmentsIssuesPlan and track workCode ReviewManage code changesCode QualityEnforce quality at mergeAPPLICATION SECURITYGitHub Advanced SecurityFind and fix vulnerabilitiesCode securitySecure your code as you buildSecret protectionStop leaks before they startEXPLOREWhy GitHubDocumentationBlogChangelogMarketplaceView all features

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ENTERPRISE SOLUTIONSEnterprise platformAI-powered developer platformAVAILABLE ADD-ONSGitHub Advanced SecurityEnterprise-grade security featuresCopilot for BusinessEnterprise-grade AI featuresPremium SupportEnterprise-grade 24/7 support

DEVELOPER WORKFLOWSDesktop AppCopilot in VS CodeAgents on GitHubCopilot CLIFor BusinessTutorialsPlans & Pricing

FreeFor getting started with GitHub Copilot.$0USDper user / monthGet startedOpen in VS CodeWhat's included2,000 completions per monthAccess to Haiku 4.5, GPT-5 mini, and moreCopilot CLICommunity SupportNo credit card required. Verified students have access to the GitHub Copilot Student plan. Learn moreProFor everyday coding with agents in GitHub Copilot.$10USDper user / monthGet startedEverything in Free and:Access to Cloud agent and code review1Unlimited code completion and next edit suggestions2Access to 3rd party agents (Claude Code and Codex)Model selection$15 monthly total credits for Pro3Pro+For more complex development with premium models.$39USDper user / monthGet startedEverything in Pro and:Access to premium models, including OpusAudit logs4x+ included usage than Pro$70 monthly total credits for Pro+3MaxFor sustained, high-volume agent workflows with GitHub Copilot.$100USDper user / monthGet startedEverything in Pro+ and:Priority access to new models and features2.9x+ included usage than Pro+$200 monthly total credits for Max3Best value

BusinessFor teams that want pooled credits and control.$19USDper user / monthContact SalesWhat's included:Unlimited code completion and next editAccess to cloud agent and code review1Access to broad model catalogAccess to 3rd party agentsAccess control, budget control, and governanceIP indemnity and data privacyWeb-based supportEnterpriseFor org-wide rollout and larger pooled credits.$39USDper user / monthEverything in Business and:Priority access to new models and features 2x included usage than BusinessBest value

2,000 completions per monthAccess to Haiku 4.5, GPT-5 mini, and moreCopilot CLICommunity Support

Access to Cloud agent and code review1Unlimited code completion and next edit suggestions2Access to 3rd party agents (Claude Code and Codex)Model selection$15 monthly total credits for Pro3

Access to premium models, including OpusAudit logs4x+ included usage than Pro$70 monthly total credits for Pro+3

Priority access to new models and features 2x included usage than Business

GitHub Copilot transforms the developer experience. Backed by the leaders in AI, GitHub Copilot provides contextualized assistance throughout the software development lifecycle, from inline suggestions and chat assistance in the IDE to code explanations and answers to docs in GitHub and more. With GitHub Copilot elevating their workflow, developers can focus on: value, innovation, and happiness.GitHub Copilot enables developers to focus more energy on problem solving and collaboration and spend less effort on the mundane and boilerplate. That’s why developers who use GitHub Copilot report up to 75% higher satisfaction with their jobs than those who don’t and are up to 55% more productive at writing code without sacrifice to quality, which all adds up to engaged developers shipping great software faster.GitHub Copilot integrates with leading editors, including Visual Studio Code, Visual Studio, JetBrains IDEs, and Neovim, and, unlike other AI coding assistants, is natively built into GitHub. Growing to millions of individual users and tens of thousands of business customers, GitHub Copilot is the world’s most widely adopted AI developer tool and the competitive advantage developers ask for by name.

GitHub Copilot Free is a new free pricing tier with limited functionality for individual developers. Users assigned a Copilot Business or Copilot Enterprise seat are not eligible for access. Users with access to Copilot Pro through a paid subscription, trial, or through an existing verified OSS, student, faculty, or MVP account may elect to use Free instead.

GitHub Copilot is trained on all languages that appear in public repositories. For each language, the quality of suggestions you receive may depend on the volume and diversity of training data for that language. For example, JavaScript is well-represented in public repositories and is one of GitHub Copilot’s best supported languages. Languages with less representation in public repositories may produce fewer or less robust suggestions.GitHub Copilot is available as an extension in Visual Studio Code, Visual Studio, Vim, Neovim, the JetBrains suite of IDEs, and Azure Data Studio. Although inline suggestion functionality is available across all these extensions, chat functionality is currently available only in Visual Studio Code, JetBrains, and Visual Studio. GitHub Copilot is also supported in terminals through GitHub CLI and as a chat integration in Windows Terminal Canary. With the GitHub Copilot Enterprise plan, GitHub Copilot is natively integrated into GitHub.com. All plans are supported in GitHub Copilot in GitHub Mobile. GitHub Mobile for Copilot Pro and Copilot Business have access to Bing and public repository code search. Copilot Enterprise in GitHub Mobile gives you additional access to your organization's knowledge.

GitHub Copilot has multiple offerings for organizations and an offering for individual developers. All the offerings include both inline suggestion and chat assistance. The primary differences between the organization offerings and the individual offering are license management, policy management, and IP indemnity.Organizations can choose between GitHub Copilot Business and GitHub Copilot Enterprise. GitHub Copilot Business primarily features GitHub Copilot in the coding environment - that is the IDE, CLI and GitHub Mobile. GitHub Copilot Enterprise includes everything in GitHub Copilot Business. It also adds an additional layer of customization for organizations and integrates into GitHub.com as a chat interface to allow developers to converse with GitHub Copilot throughout the platform. GitHub Copilot Enterprise can index an organization’s codebase for a deeper understanding of the customer’s knowledge for more tailored suggestions and will offer customers access to fine-tuned custom, private models for inline suggestions.GitHub Copilot Individual is designed for individual developers, freelancers, students, educators, and open source maintainers. The plan includes all the features of GitHub Copilot Business except organizational license management, policy management, and IP indemnity.

GitHub Copilot is powered by generative AI models developed by GitHub, OpenAI, and Microsoft. It has been trained on natural language text and source code from publicly available sources, including code in public repositories on GitHub. Starting on April 24, GitHub may also use interactions from users with a Copilot Free, Copilot Pro, and Copilot Pro+ subscription - including inputs, outputs, code snippets, and associated context - to train and improve our AI models unless they have opted out. This allows us to build more intelligent, context-aware coding assistance for a more diverse set of coding tasks based on real-world development patterns. Users were notified 30 days before the change went into effect and can opt out from allowing their data to be used for training in their GitHub account settings at any time.

GitHub Copilot Autofix provides contextual explanations and code suggestions to help developers fix vulnerabilities in code, and is included in GitHub Advanced Security.

GitHub Copilot is entirely optional and requires you to opt in before gaining access. You can easily configure its usage directly in the editor, enabling or disabling it at any time. Additionally, you have control over which file types GitHub Copilot is active for.

Access to Copilot Business and Enterprise is managed by your GitHub Administrator. They can control access to preview features, models, and set GitHub Copilot policies for your organization. Additionally, you can use your network firewall to explicitly allow access to Copilot Business and/or block access to Copilot Pro or Free. For more details, refer to the documentation.

GitHub Copilot has multiple offerings for organizations and an offering for individual developers. All the offerings include both code completion and chat assistance. The primary differences between the organization offerings and the individual offering are license management, policy management, and IP indemnity.Organizations can choose between GitHub Copilot Business and GitHub Copilot Enterprise. GitHub Copilot Business primarily features GitHub Copilot in the coding environment - that is the IDE, CLI and GitHub Mobile. GitHub Copilot Enterprise includes everything in GitHub Copilot Business. It also adds an additional layer of customization for organizations and integrates into GitHub.com as a chat interface to allow developers to converse with Copilot throughout the platform. GitHub Copilot Enterprise can index an organization’s codebase for a deeper understanding of the customer’s knowledge for more tailored suggestions and will offer customers access to fine-tuned custom, private models for code completion.GitHub Copilot Pro is designed for individual developers, freelancers, students, educators, and open source maintainers. The plan includes all the features of GitHub Copilot Business except organizational license management, policy management, and IP indemnity.GitHub Copilot Max is built for heavy Copilot usage, including sustained agent-driven workflows, and includes $100/month in GitHub AI Credits.

If you're on the Free plan, you can upgrade to Pro through your Copilot settings page or directly on the Copilot marketing page.

GitHub Copilot Free users are limited to 2000 completions and 50 chat requests (including Copilot Edits).

Organizations can now enable Copilot code review on all pull requests on github.com—including pull requests from users who are not assigned a Copilot license.This allows you to extend the quality and rich analysis of Copilot code review to all pull requests, regardless of its author, giving you complete coverage and confidence that pull requests have been reviewed.To enable this functionality, an enterprise/org admin must first have Copilot enabled and then enabled two policies.Note: This capability is not supported for Copilot code reviews in VS Code or other IDEs.

Usage from non-licensed users is billed directly to your organization as GitHub AI Credits. This flexible model allows you to get full review coverage on every PR without purchasing a full Copilot seat for non-development contributors who may not need Copilot.Usage from your existing licensed users continues to draw from their included monthly allowance as it does today. Beginning June 1, 2026, code review workflows also consume GitHub Actions minutes.

No. This capability is off by default and gives the enterprise admin control to enable or disable. An admin must explicitly enable two separate policies to activate: ‘GitHub AI Credits paid usage’ must be enabled to allow enterprises to be charged for GitHub AI Credits exceeding their included usage.A new Copilot code review policy (‘Allow members without a Copilot license to use Copilot code review in github.com’) must also be enabled.We encourage admins to set up budgets to control spending on our metered products, especially customers who have not enabled the ‘Premium request paid usage’ policy in the past. You can track all premium request usage in your billing dashboard to monitor and control spending.

GitHub AI Credits are how you pay for AI usage in GitHub Copilot. Every plan includes a monthly allowance: 1 AI credit = $0.01 USD. You use credits when you chat with Copilot, work with agents, or use Copilot CLI, Spaces, and Spark. Code completions and next edit suggestions don't use credits. They remain unlimited with every paid plan. How many credits an interaction uses depends on the model you choose and the complexity of the task. A quick question to a lightweight model costs a fraction of a credit. A longer agent session on a frontier model across many files costs more.

When you've used your monthly allowance, you have a few options:Wait for your next cycle. Your included allowance resets every month.Keep working with paid usage. Set a dollar budget for additional usage and Copilot continues without interruption. Credits draw down at $0.01 each, so a $10 budget covers 1,000 credits.Switch to a less expensive model. Lightweight models use fewer credits per interaction and stretch your remaining allowance further.On GitHub Copilot Business and GitHub Copilot Enterprise, admins set usage limits and decide whether additional paid usage is allowed. If it isn't, Copilot pauses until the next cycle.You can track your usage and reset date in your Copilot settings, with alerts at 75%, 90%, and 100% of any configured budget.

GitHub Copilot processes personal data based on how Copilot is accessed and used: whether via GitHub.com, mobile app, extensions, or one of various IDE extensions, or through features like suggestions for the command line interface (CLI), IDE code completions, or personalized chat on GitHub.com. The types of personal data processed may include:User Engagement Data: This includes pseudonymous identifiers captured on user interactions with Copilot, such as accepted or dismissed completions, error messages, system logs, and product usage metrics. Prompts: These are inputs for chat or code, along with context, sent to Copilot's AI to generate suggestions. Suggestions: These are the AI-generated code lines or chat responses provided to users based on their prompts. Feedback Data: This comprises real-time user feedback, including reactions (e.g., thumbs up/down) and optional comments, along with feedback from support tickets.

No. GitHub does not use either Copilot Business or Enterprise data to train its models.

GitHub uses the Copilot data from Individual subscribers for all the operational purposes described above for Business/Enterprise subscribers.In addition, for Individual subscribers only: GitHub may use Copilot interaction data — including prompts (inputs), suggestions (outputs), and code snippets generated during Copilot sessions — to train and improve AI models. This training helps improve code suggestions for all Copilot users.Individual subscribers can opt out of having their data used for AI model training at any time through https://github.com/settings/copilot/features. Opting out does not affect your access to Copilot features.For details on GitHub's data processing activities as a controller, particularly for Copilot Free, Copilot Pro, and Copilot Pro customers, refer to the GitHub Terms of Service and the GitHub Privacy Statement.

If and for how long GitHub’s retains Copilot data depends on how a Copilot user accesses Copilot and for what purpose. The default settings for Copilot Business and Enterprise Customers are as follows: Access through IDE for Chat and Code Completions:Prompts and Suggestions: Not retainedUser Engagement Data: Kept for two years.Feedback Data: Stored for as long as needed for its intended purpose.All other GitHub Copilot access and use:Prompts and Suggestions: Retained for 28 days.User Engagement Data: Kept for two years.Feedback Data: Stored for as long as needed for its intended purpose.

Retaining prompts and suggestions is necessary for chat on github.com, mobile, and CLI Copilot because those features’ effectiveness depends on using thread history to improve responses. The Copilot model requires access to previous interactions to deliver accurate and relevant suggestions.

Yes. GitHub and customers can enter a Data Protection Agreement that supports compliance with the GDPR and similar legislation.

While we've designed GitHub Copilot with privacy in mind, the expansive definition of personal data under legislation like the EU’s General Data Protection Regulation (GDPR) means we can't guarantee it will never output such data. The Large Language Model (LLM) powering GitHub Copilot was trained on public code and there were instances in our tests where the tool made suggestions resembling personal data. These suggestions were typically synthesized and not tied to real individuals.

These actions are available to Copilot users as described in the GitHub Privacy Statement.

Yes, GitHub Copilot does include an optional code referencing filter to detect and suppress certain suggestions that match public code on GitHub.GitHub has created a duplication detection filter to detect and suppress suggestions that contain code segments over a certain length that match public code on GitHub. This filter can be enabled by the administrator for your enterprise and it can apply for all organizations within your enterprise, or the administrator can defer control to individual organizations. With the filter enabled, Copilot checks code suggestions for matches or near-matches against public code on GitHub of 65 lexemes or more (on average,150 characters). If there is a match, the suggestion will not be shown to the user.In addition to off-topic, harmful, and offensive output filters, GitHub Copilot also scans the outputs for vulnerable code.

Yes, GitHub Copilot is previewing a code referencing feature as an additional tool to assist users to find and review potentially relevant open source licenses. Code referencing is currently available in Visual Studio Code. This feature searches across public GitHub repositories for code that matches a Copilot suggestion. If there’s a match, users will find its information displayed in the Copilot console log, including where the match occurred, any applicable licenses, and a deep link to learn more. The deep link will take users to a navigable page on GitHub.com to browse examples of the code match and their repository licenses, and see how many repositories—including ones without licenses—that code appears in, as well as links to those repositories. Copilot users can review this information to determine whether the applicable suggestions are suitable for use, and whether additional measures may be necessary to use them.

We don’t determine whether a suggestion is capable of being owned, but we are clear that GitHub does not claim ownership of a suggestion. Whether a suggestion generated by an AI model can be owned depends on many factors (e.g. the intellectual property law in the relevant country, the length of the suggestion, the extent that suggestion is considered ‘functional’ instead of expressive, etc).If a suggestion is capable of being owned, our terms are clear: GitHub does not claim ownership.GitHub does not claim ownership of any suggestion. In certain cases, it is possible for Copilot to produce similar suggestions to different users. For example, two unrelated users both starting new files to code the quicksort algorithm in Java will likely get the same suggestion. The possibility of providing similar suggestions to multiple users is a common part of generative AI systems.

Public code may contain insecure coding patterns, bugs, or references to outdated APIs or idioms. When GitHub Copilot synthesizes code suggestions based on this data, it can also synthesize code that contains these undesirable patterns. Copilot has filters in place that either block or notify users of insecure code patterns that are detected in Copilot suggestions. These filters target the most common vulnerable coding patterns, including hardcoded credentials, SQL injections, and path injections. Additionally, in recent years we’ve provided tools such as GitHub Advanced Security, GitHub Actions, Dependabot, and CodeQL to open source projects to help improve code quality. Of course, you should always use GitHub Copilot together with good testing and code review practices and security tools, as well as your own judgment.

No. Copilot is a tool intended to make developers more efficient. It’s not intended to replace developers, who should continue to apply the same sorts of safeguards and diligence they would apply with regard to any third-party code of unknown origin.The product is called “Copilot” not “Autopilot” and it’s not intended to generate code without oversight. You should use exactly the same sorts of safeguards and diligence with Copilot’s suggestions as you would use with any third-party code.Identifying best practices for use of third party code is beyond the scope of this section. That said, whatever practices your organization currently uses – rigorous functionality testing, code scanning, security testing, etc. – you should continue these policies with Copilot’s suggestions. Moreover, you should make sure your code editor or editor does not automatically compile or run generated code before you review it.

Not necessarily. GitHub Copilot users should align their use of Copilot with their respective risk tolerances.As noted above, GitHub Copilot is not intended to replace developers, or their individual skill and judgment, and is not intended to fully automate the process of code development. The same risks that apply to the use of any third-party code apply to the use of Copilot’s suggestions.Depending on your particular use case, you should consider implementing the protections discussed above. It is your responsibility to assess what is appropriate for the situation and implement appropriate safeguards.You’re entitled to IP indemnification from GitHub for the unmodified suggestions when Copilot’s filtering is enabled. If you do elect to enable this feature, the copyright responsibility is ours, not our customers. As part of our ongoing commitment to responsible AI, GitHub and Microsoft extends our IP indemnity and protection support to our customers who are empowering their teams with GitHub Copilot. See Microsoft's Copilot Copyright Commitment for more details.

We are conducting internal testing of GitHub Copilot’s ease of use by developers with disabilities and working to ensure that GitHub Copilot is accessible to all developers. Please feel free to share your feedback on GitHub Copilot accessibility in our feedback forum.

GitHub Copilot includes filters to block offensive language in the prompts and to avoid synthesizing suggestions in sensitive contexts. We continue to work on improving the filter system to more intelligently detect and remove offensive outputs. If you see offensive outputs, please report them directly to copilot-safety@github.com so that we can improve our safeguards. GitHub takes this challenge very seriously and we are committed to addressing it.

Given public sources are predominantly in English, GitHub Copilot will likely work less well in scenarios where natural language prompts provided by the developer are not in English and/or are grammatically incorrect. Therefore, non-English speakers might experience a lower quality of service.

GitHub Copilot 是 AI 编程助手，它能在你的编辑器中直接提供代码建议，包括整行代码、函数实现、重复性模板代码，甚至根据注释和上下文自动生成完整逻辑。它支持多种主流编程语言和 IDE（如 VS Code、JetBrains），能有效提升编码效率。

它最适合日常开发中的编码辅助场景，例如：快速编写重复性代码（如 CRUD 操作、配置代码）、根据函数注释生成实现、补充单元测试、学习新语言或框架时提供示例，以及处理不熟悉 API 的调用方法。对于简单、模式化的任务效果尤其明显，但在复杂架构设计或业务逻辑梳理时，仍需开发者主导。

GitHub Copilot 基于 OpenAI Codex 模型（后升级为更先进的模型），通过大规模公开代码库训练，利用当前文件和上下文进行预测，生成最可能的代码序列。它的限制包括：不能保证代码完全正确或安全，可能生成有漏洞或过时的 API 用法；对不常见的私有库或极专业化语法支持较弱；建议质量高度依赖输入上下文的清晰度。