AI can now propose security fixes across your codebase. Keep a record of what you approve.

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On October 15, GitHub announced general availability of Agentic autofix for eligible enterprise customers. It examines relevant files, proposes a security fix, reruns CodeQL and opens a draft pull request for human review.

For teams using AI in development, I think this makes documenting important versions even more useful.

Before accepting a substantial change, keep the original files. After review, preserve the approved version and the record of what changed.

Ecode can add a certificate with a trusted RFC 3161 timestamp to each file you choose to register. It records the file’s SHA-256 fingerprint without uploading your source code. Registration is free.

Together with your development history, these records can help document your work and support authorship evidence. The certificate records a file’s existence; it does not assess whether the code is secure.

How does your team record the versions it approves after AI-assisted changes?

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