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AI generated code PR evidence

AI Generated Code PR Evidence Checklist

AI generated code PR evidence is the set of records that lets a reviewer prove what the AI changed, what validated the change, who approved it, and whether any high-risk area required extra control.

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Best-fit situations

  • A pull request contains both human edits and agent-generated code.
  • A customer asks whether a vendor used AI coding tools in a delivered feature.
  • A compliance lead wants repeatable PR evidence for SOC 2, ISO 27001, or internal AI governance reviews.
  • A release manager needs confidence that risky AI edits have test and review coverage.

Operating steps

  1. Start with the PR diff and tag each file by likely actor and source run.
  2. Link test jobs, lint output, security checks, and manual reviewer notes to the exact files they cover.
  3. Record approvals, failed-test overrides, and merge ownership in a single timeline.
  4. Summarize user-visible changes and rollback commands before the PR merges.
  5. Store an export that can be shared with a client without exposing private agent prompts unnecessarily.

Common risks

  • Evidence is spread across GitHub comments, CI logs, chat messages, and local terminals.
  • A reviewer sees green CI but misses a manual override or skipped test.
  • A vendor cannot separate AI-generated files from human-authored files after merge.
  • Exported evidence includes secrets, private prompts, or irrelevant internal context.

How CodeAgent Ledger helps

CodeAgent Ledger packages PR evidence into a clean record for engineering review, customer assurance, and incident response.

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Questions

Common buyer questions.

What problem does this solve?

AI generated code PR evidence is the set of records that lets a reviewer prove what the AI changed, what validated the change, who approved it, and whether any high-risk area required extra control.

When should a team use it?

A pull request contains both human edits and agent-generated code.

What evidence matters most?

Link test jobs, lint output, security checks, and manual reviewer notes to the exact files they cover.

Where does CodeAgent Ledger fit?

CodeAgent Ledger packages PR evidence into a clean record for engineering review, customer assurance, and incident response.

Related AI workflow reference

Teams comparing workflow plans with launch and market assumptions can also review MiroFish AI Simulator, a companion reference for simulation-style product reasoning.