Explore Git AI integration opportunities

[Copilot]

Explores integrating Git AI’s line-level AI authorship metadata with agentic workflows, focusing on provenance across gh-aw’s isolated agent and safe-output jobs.

• Architecture

  • Maps Git AI checkpoints, Git notes, and engine hooks to gh-aw lifecycle stages.
  • Identifies note transport and signed-commit SHA replacement as key integration gaps.

• Integration strategy

  • Evaluates reporting, in-run attribution, safe-output preservation, and post-merge reconciliation.
  • Proposes a constrained proof of concept before introducing native configuration.

• Risk assessment

  • Documents sandbox, credential, telemetry, privacy, and supply-chain constraints.
  • Defines success criteria, an expansion test matrix, and open design questions.

• Discoverability

  • Adds the analysis to the scratchpad comparative-analysis index.

[Copilot]

Pull request overview

Documents Git AI provenance integration opportunities across gh-aw’s agent and safe-output lifecycle.

Changes:

• Adds architectural analysis, risks, test criteria, and a staged proof of concept.
• Adds the analysis to the scratchpad index.

Show a summary per file

File	Description
scratchpad/git-ai.md	Adds the Git AI integration analysis.
scratchpad/README.md	Indexes the analysis and updates the date.

Review details

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• Files reviewed: 2/2 changed files
• Comments generated: 0
• Review effort level: Medium

[github-actions]

🎉 This pull request is included in a new release.

Release: v0.83.1