Do these 3 things before closing this tab:
1Repair Windows errors before they cause bigger problems2Fix the driver behind crashes, sound loss and screen glitches3Clear out junk files and repair common Windows errorsGitHub Copilot Autofix uses CodeQL alert data and Copilot to suggest code changes for security findings. The feature first launched in public beta on March 20, 2024, and became generally available for CodeQL alerts on August 14, 2024. It now supports eligible public repositories and eligible private or internal repositories, but only a subset of CodeQL queries can receive fixes. Treat each suggestion as a proposed change: review it and run your normal tests before merging.
What is GitHub Copilot Autofix?
Copilot Autofix is a remediation feature within GitHub code scanning. When CodeQL identifies a supported security alert, Autofix uses Copilot together with information from the alert to propose a change intended to address it. The suggestion includes a natural-language explanation and a preview of the code change; a developer can accept, edit, or dismiss it. It is not an automatic guarantee that an alert is resolved safely.
GitHub announced the feature as Code Scanning Autofix on March 20, 2024, initially for GitHub Advanced Security customers. The launch language, “Found means fixed,” describes the goal rather than a promise that every finding can be fixed automatically. On August 14, 2024, GitHub announced general availability for Copilot Autofix for CodeQL alerts.
Which repositories and languages are supported?
GitHub’s current documentation says Copilot Autofix is available for all public repositories on GitHub.com. It is also available for internal and private repositories owned by organizations and enterprises with GitHub Code Security enabled. Check GitHub’s current Copilot Autofix documentation for eligibility and billing details, which can change.
The Tool Desk
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The initial March 2024 beta covered JavaScript, TypeScript, Java, and Python. Current responsible-use documentation lists fix generation for a subset of CodeQL queries across these languages:
- C#
- C and C++
- Go
- Java and Kotlin
- Swift
- JavaScript and TypeScript
- Python
- Ruby
- Rust
Language support does not mean every alert in that language can receive a fix. Coverage depends on the CodeQL query; consult GitHub’s responsible-use guidance for the documented scope.
Rank #2
How do you use Autofix for an alert?
For alerts in a pull request
When a pull request triggers a supported CodeQL alert, the alert can include an Autofix explanation and code preview. Review the proposed change in context, then accept it, edit it, or dismiss it. The pull-request workflow is designed to put the suggestion where developers are already reviewing the flagged code.
For historical alerts on the default branch
In July 2024, GitHub added public-beta fixes for historical CodeQL alerts on a repository’s default branch. For an eligible alert, the workflow includes a Generate fix action. The resulting suggestion still needs developer review; generating a fix does not itself merge a change or establish that the vulnerability is fully addressed.
Rank #3
Agentic autofix
GitHub also documents agentic autofix as a public preview. When Copilot cloud agent is available, assigning an alert can start an agent session that explores the codebase, generates and validates a fix, and opens a pull request. This is distinct from the ordinary suggestion-and-review flow, and preview behavior may change. Review the resulting pull request and validation evidence under your team’s normal controls.
Can you trust an AI-generated security fix?
Use Autofix as a remediation aid, not as a substitute for engineering judgment. A patch may address the CodeQL pattern while still changing behavior, missing a related weakness, or failing to fit the application’s assumptions. Inspect the diff and explanation, verify the intended behavior, and run the tests and security checks appropriate to the codebase before merging.
Rank #4
GitHub’s March 2024 announcement said more than 90% of alert types in the initial four languages were covered, and that suggestions were shown to remediate more than two-thirds of supported alerts with little or no editing. Those were GitHub’s reported launch figures, not a guarantee for an individual repository or alert. Support is query-specific, so confirm that a suggestion exists rather than inferring fixability from language alone.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What do GitHub’s speed figures mean?
GitHub reported from its beta program that vulnerabilities with a fix suggestion were fixed 3x faster overall, 7x faster for cross-site scripting, and 12x faster for SQL injection. These are GitHub-reported program results, not an independent controlled benchmark. They indicate the potential to accelerate remediation when a useful suggestion is available; they do not predict the time savings a particular team will see.
Quick wins for a faster PC:
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How Autofix fits into a security workflow
Autofix is most useful when teams treat it as one step in the existing CodeQL triage and pull-request process. Before relying on it at scale, teams can assess whether their priority alerts fall within supported queries, whether their repositories meet eligibility requirements, and how proposed changes will be reviewed and tested. If a suggestion is unavailable or unsuitable, the CodeQL finding still needs to be triaged and remediated through the normal process.
Quick Recap
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