Pull requests can be more than diffs. Treat them as lightweight operational docs that capture intent, risk, and how to ship safely—an idea highlighted by Simon Willison in More than just a code review.
Why PRs should be operational docs
PRs are where decisions happen. If you record the “why,” the rollout plan, and how to observe success, you cut on-call guesswork and future rework.
This matters even more with AI changes, where prompt choices, model settings, datasets, and eval results influence behavior beyond the code diff.
The PR checklist that pays for itself
- Intent and scope: What problem are we solving? What’s explicitly out of scope?
- Demo evidence: Before/after screenshot or a 30–60s clip (link) to show behavior.
- Risk and blast radius: What could break? What’s the user or system impact?
- Rollout plan: Flags, staged rollout, or shadow mode; who flips the switch and when.
- Testing done: How to reproduce locally (commands, seed data), test coverage notes.
- Observability: Logs/metrics to watch, dashboards/alerts, success and rollback signals.
- Security & privacy: Secrets handling, PII exposure, permission changes, threat notes.
- Performance: Expected impact and any quick benchmarks or budgets.
- Backout: Revert steps, data migration reversibility, time window for safe rollback.
- Ownership: Accountable owner, reviewers, and who is on point for rollout.
- Dependencies: Linked issues/tickets, migrations, external services.
- AI-specific context (if relevant): Model/version, parameters, prompts, datasets, and eval results.
Make it stick with templates
Codify the checklist in a PR template so it’s one click away. GitHub supports PULL_REQUEST_TEMPLATE.md in the repo root or .github/ folder.
Keep it concise: lead with a 3–5 line summary, then sections with bullet points and links. Use optional sections (e.g., AI context) behind a short “only if relevant” note.
Ship faster without PR novels
Clarity beats volume. Prefer crisp bullets, links to dashboards and tickets, and a short demo clip. Long narratives age fast—evidence and links scale.
How to know it’s working
- Fewer “What does this do?” or “How do I roll it back?” pings during incidents.
- Lower time-to-restore when rollbacks are needed.
- Faster, more confident reviews (shorter review latency, fewer context questions).
- Clearer audit trail for security and product decisions.
Sources and further reading
- Simon Willison — More than just a code review
- GitHub Docs — About pull requests
- Google — Code Review Developer Guide
Takeaway
Treat your PR as the single best explainer of why, how it ships safely, and how you’ll know it worked. The checklist above adds minutes but saves hours later.
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