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GitHub Copilot Autofix suggests code changes for security and other code-scanning alerts; it does not silently patch a repository. A developer reviews the proposed fix and decides whether to apply it. GitHub first announced the feature in 2023, introduced its public beta in March 2024, and expanded availability in stages later that year.
What GitHub Copilot Autofix does
GitHub code scanning analyzes repository code and raises alerts for security vulnerabilities and other coding errors. Copilot Autofix uses an alert and relevant code context to generate a proposed change, accompanied by a natural-language explanation. The launch story centered on CodeQL, GitHub’s semantic code analysis engine.
GitHub’s engineering article describes the original approach this way: “The basic idea behind autofix is simple: when a code analysis tool such as CodeQL detects a problem, we send the affected code and a description of the problem to a large language model (LLM), asking it to suggest code edits that will fix the problem without changing the functionality of the code.” The explanation is from Tiferet Gazit, then a principal machine learning engineer at GitHub, in “Fixing security vulnerabilities with AI”.
GitHub said suggestions at launch could span multiple files and include dependencies that need to be added. In the standard workflow, the developer reviews the suggestion and may apply, edit, dismiss, or otherwise decline it. A generated proposal is not proof that a vulnerability has been fully remediated.
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When GitHub introduced Autofix
| Date | Milestone |
|---|---|
| November 2023 | GitHub says it announced code scanning autofix. |
| March 20, 2024 | GitHub announced a public beta for GitHub Advanced Security customers. The company said the beta supported more than 90% of CodeQL alert types in JavaScript, TypeScript, Java, and Python. |
| August 14, 2024 | Copilot Autofix for CodeQL alerts became generally available to GitHub Advanced Security customers on GitHub.com. |
| September 18, 2024 | GitHub made Copilot Autofix for CodeQL code-scanning alerts generally available for free on all public repositories using CodeQL code scanning. The announcement covered alerts in pull requests and historical alerts. |
The feature launched as “code scanning autofix” and is now called Copilot Autofix for code scanning. The March 2024 announcement was updated in April 2025 to point readers to general availability; the original launch is not a new 2026 release.
Who can use it, and does it cost extra?
GitHub’s documentation, accessed October 5, 2026, lists public repositories on GitHub.com and organization-owned repositories on GitHub Team or GitHub Enterprise Cloud with GitHub Code Security enabled as eligible for standard Copilot Autofix. GitHub says a Copilot subscription is not required, and standard suggestions do not consume AI credits. For public repositories using CodeQL code scanning, GitHub announced the feature as free in September 2024.
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For organization-owned private repositories, the documented eligibility is tied to GitHub Code Security on GitHub Team or GitHub Enterprise Cloud. That is distinct from the free public-repository availability; consult GitHub’s current documentation on autofix for code scanning for current product conditions.
Standard Autofix versus agentic autofix
GitHub’s current documentation describes two different workflows. Standard Autofix provides a suggested fix for an alert for a developer to review and apply. Agentic autofix is a separate public-preview workflow that assigns work to Copilot cloud agent.
| Workflow | What happens | Availability and usage | Validation |
|---|---|---|---|
| Standard Copilot Autofix | Generates one suggested fix for an alert; a developer reviews and applies or rejects it. | Available under the repository conditions above. Does not require a Copilot subscription and does not consume AI credits, according to GitHub documentation. | A proposed change is for human review; it should not be treated as confirmation that the alert is resolved. |
| Agentic autofix | Assigning an alert starts a Copilot cloud agent session. The agent can explore the codebase, generate a fix, validate it by rerunning CodeQL, and open a pull request. | Public preview; requires Copilot cloud agent. Sessions consume AI credits and operate on a best-effort basis. | CodeQL validation cannot confirm fixes for alerts from custom queries or the security-extended query suite. GitHub also says quality is not guaranteed for alerts from third-party tools. |
Even when an agent opens a pull request or validation runs, review remains important: GitHub describes agentic sessions as best-effort and specifies limits on what validation can confirm.
What GitHub’s launch metrics do—and do not—show
GitHub reported that the March 2024 beta supported more than 90% of CodeQL alert types in JavaScript, TypeScript, Java, and Python. That was a coverage claim about alert types, not a promise that every alert in those languages would receive a working fix.
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In the same launch announcement, GitHub said suggestions were shown to remediate more than two-thirds of supported alerts with little or no editing. This is a company-reported result, not an individual success guarantee or an independently established benchmark.
GitHub also attributed speed comparisons to beta-program data for vulnerabilities that had a fix suggestion: three times faster across vulnerability types, seven times faster for cross-site scripting, and 12 times faster for SQL injection. Those figures describe GitHub’s reported beta comparisons, not a current independent evaluation across repositories or all alert categories.
Which model powers Autofix?
GitHub’s current GitHub Enterprise Cloud documentation says the Autofix interface uses OpenAI’s GPT-5.3-Codex to generate suggested code fixes and explanatory text. This is a current product detail, not a description of the model used when the feature launched; implementation details may change.
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