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Text of the page (random words):
and 50 chat requests including copilot edits which plan includes github copilot autofix github copilot autofix provides contextual explanations and code suggestions to help developers fix vulnerabilities in code and is included in github advanced security and available to all public repositories can users in my organization use copilot code reviews for their pull requests if they don t have a copilot license 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 how does billing work for copilot code review usage generated by users without a copilot license 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 is copilot code review usage from users without a copilot license enabled by default how do i control the cost 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 what are github ai credits 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 what happens when i hit my usage limit 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 privacy what personal data does github copilot process 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 does github use copilot business or enterprise data to train github s model no github does not use either copilot business or enterprise data to train its models how does github use the copilot data from business and enterprise subscribers how github uses copilot data depends on how the user accesses copilot and for what purpose users can access github copilot through the web extensions mobile apps computer terminal and various ides integrated development environments github generally uses personal data to deliver maintain and update the services as per the customer s configuration and usage to ensure personalized experiences and recommendations troubleshoot which involves preventing detecting resolving and mitigating issues including security incidents and product related problems by fixing software bugs and maintaining the online services functionality and up to dateness enhance user productivity reliability effectiveness quality privacy accessibility and security by keeping the service current and operational these practices are outlined in github s data protection agreement dpa which details our data handling commitments to our data controller customers github also uses certain personal data with customer authorization under the dpa for the following purposes billing and account management to comply with and resolve legal obligations for abuse detection prevention and protection virus scanning and scanning to detect violations of terms of service to generate summary reports for calculating employee commissions and partner incentives to produce aggregated reports for internal use and strategic planning covering areas like forecasting revenue analysis capacity planning and product strategy how does github use the copilot data from individual free pro pro subscribers 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 s uggestions 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 how long does github retain copilot data for business and enterprise customers 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 retained user 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 why do some copilot features retain prompts and suggestions 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 does github copilot support compliance with the gdpr and other data protection laws yes github and customers can enter a data protection agreement that supports compliance with the gdpr and similar legislation does github copilot ever output personal data 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 how does copilot allow users to access alter or delete personal data these actions are available to copilot users as described in the github privacy statement responsible ai what are the intellectual property considerations when using github copilot the primary ip considerations for github copilot relate to copyright the model that powers copilot is trained on a broad collection of publicly accessible code which may include copyrighted code and copilot s suggestions in rare instances may resemble the code its model was trained on here s some basic information you should know about these considerations copyright law permits the use of copyrighted works to train ai models countries around the world have provisions in their copyright laws that enable machines to learn understand extract patterns and facts from copyrighted materials including software code for example the european union japan and singapore have express provisions permitting machine learning to develop ai models other countries including canada india and the united states also permit such training under their fair use fair dealing provisions github copilot s ai model was trained with the use of code from github s public repositories which are publicly accessible and within the scope of permissible copyright use what about copyright risk in suggestions in rare instances less than 1 based on github s research suggestions from github may match examples of code used to train github s ai model again copilot does not look up or copy and paste code but is instead using context from a user s workspace to synthesize and generate a suggestion our experience shows that matching suggestions are most likely to occur in two situations i when there is little or no context in the code editor for copilot s model to synthesize or ii when a matching suggestion represents a common approach or method if a code suggestion matches existing code there is risk that using that suggestion could trigger claims of copyright infringement which would depend on the amount and nature of code used and the context of how the code is used in many ways this is the same risk that arises when using any code that a developer does not originate such as copying code from an online source or reusing code from a library that is why responsible organizations and developers recommend that users employ code scanning policies to identify and evaluate potential matching code in copilot you can opt whether to allow copilot to suggest code completions that match publicly available code on github com for more information see configuring github copilot settings on github com if you have allowed suggestions that match public code github copilot can provide you with details about the matching code when you accept such suggestions matching code does not necessarily mean copyright infringement so it is ultimately up to the user to determine whether to use the suggestion and what and who to attribute along with other license compliance in appropriate circumstances does github copilot include a filtering mechanism to mitigate risk 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 does github copilot include features to make it easier for users to identify potentially relevant open source licenses for matching suggestions 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 who owns the suggestions provided by github copilot 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 can github copil...