AI-authored commits and PRs
What this lesson covers
Section titled “What this lesson covers”L15 is about what changes in a git workflow when an AI agent is the one typing the code. The git mechanics don’t change much. The conventions around attribution, the focus of review, and the way teams discuss AI contributions in changelogs DO change.
The lesson covers:
- Git’s
Co-Authored-By:trailer as the standard attribution mechanism - The “Generated with Claude Code” marker (and similar conventions for other tools)
- When to include the trailer and when not to (honest practice)
- Specific failure modes to look for in AI-authored code (hallucinated APIs, plausible-but-wrong logic, trivial test assertions, confident-but-wrong docstrings)
- The accountability principle (the human merger is responsible, regardless of who typed)
- PR description conventions
- Release-note treatment (user-facing vs internal)
- Audit and traceability via trailer-based grep
- Brief notes on legal/licensing considerations
L15 closes the conceptual content of T7. L16 looks forward.
By the end of L15, the reader will be able to
Section titled “By the end of L15, the reader will be able to”- Apply the
Co-Authored-By:trailer to attribute AI contributions in commit messages - Use the “Generated with Claude Code” marker convention (or equivalent for their tool)
- Decide which commits warrant the trailer based on the level of AI involvement
- Review AI-authored diffs with the specific lenses for the common failure modes
- Write PR descriptions that honestly communicate AI involvement
- Choose appropriate release-note treatment for AI contributions
- Search commit history for AI involvement using standard git tooling
- Articulate and apply the accountability principle
Prerequisites
Section titled “Prerequisites”L1-L14 of T7. Especially: commit hygiene (L3), the team-workflow conventions (L9), and the multi-agent integration patterns (L14). L15 builds on the workflows from earlier but focuses on the commit and PR level.
Reading map
Section titled “Reading map”- 1: motivation scenario (Amal reviews a PR, notices the AI co-authorship trailer)
- 2: git’s author and committer concepts
- 3: the Co-Authored-By trailer (git’s native mechanism)
- 4: the “Generated with Claude Code” marker (richer convention)
- 5: when to include the trailer (and when not to)
- 6: what human review specifically looks for in AI-authored code
- 7: the accountability principle
- 8: PR descriptions in AI-assisted workflows
- 9: release notes and changelogs
- 10: audit and traceability
- 11: legal and licensing notes (light touch)
- 12: four worked examples (typical AI commit, reviewing AI PR, release notes, personal review checklist)
- 13: a useful frame for managers and TPMs
- 14: L16 foreshadowing
- 15: five team-scale scenarios
- 16: stay-calm psychology
- 17: closers and voice anchor
What this lesson deliberately does not cover
Section titled “What this lesson deliberately does not cover”- Specific AI tools or their capabilities. Focus is on workflow, not tool choice
- Detailed legal analysis of AI-generated code licensing. Varies by jurisdiction/company; touched lightly
- Tooling integrations that auto-add trailers. Adjacent topic; the lesson assumes manual or simple-script addition
- AI model selection or prompt engineering. Separate skill area, not git workflow
- Specific AI policies of named companies. Varies and changes; lesson teaches principles
Estimated reading + practice time
Section titled “Estimated reading + practice time”50-70 minutes for the lesson body, plus 25-35 minutes for the practice drills. Most learners spend the most time on the “specific failure modes” section. It’s the concrete review skill the lesson teaches.