// Blog / team workflow
How to review the wider impact of an AI-generated pull request
A coding-agent PR should not only show what changed. It should show which module boundary, trust state, and evidence were affected.
// direct answer
Short answer
Review PR impact by mapping changed files to repository areas, checking confidence and freshness, listing affected high-impact files, verifying source and tests, and showing unresolved follow-up work in the PR summary. The goal is to make the agent’s context clear to the reviewer.
Review AI-generated PRs with context about module impact, trust, and evidence.
// the problem
A small diff can have a wider repository impact
A small PR can cross a module boundary the agent did not understand.
The diff might pass superficial review while relying on stale context or missing tests.
Reviewers need a compact way to see what the agent thought it touched and what trust state surrounded that area.
// change review
Map changed files to the areas they affect
.knowledge can generate a PR-facing summary of trust, health, and repair state.
The reviewer can compare changed files against module summaries, evidence, and high-impact files before approving the diff.
Inspector Pro can turn that into a visual change-impact summary, while the free core keeps the underlying files in the repository.
// concrete example
A three-file PR that touches unverified context
An agent changes a runtime file, a policy file, and a test helper. The diff is small, but the module boundary is suspect.
The PR impact review should flag the boundary, require source and tests, and show which evidence was checked.
If evidence is missing, the reviewer sees that as review debt instead of discovering it after merge.
// files you can inspect
Files that explain change impact
Some repository-specific files appear only after setup or a health check. Run the documented setup workflow to create routing, confidence, freshness, search, metrics, and PR summary outputs.
.knowledge/maintenance/pr_summary.md
The PR summary compresses trust, health, and repair state into reviewer-facing context.
- Review handoff
- Checking changed context
- Replacing code review
- Approving untested behavior
.knowledge/maps/critical_paths.json
Critical path maps help the reviewer see whether changed files touch risky paths.
- Prioritizing review
- Finding critical-path changes
- Assuming non-critical means safe
.knowledge/maps/file_criticality.json
Some projects may also generate a file-level criticality map for more granular PR review.
Optional generated file-level map; use critical_paths.json as the primary public file.
- Granular file review
- Project-specific impact scoring
- Replacing critical path review
.knowledge/modules/*.json
Module summaries help map changed files to ownership and confidence state.
- Boundary review
- Finding affected modules
- Skipping current source reads
.knowledge/evidence/*.json
Evidence shows which checks or files back the agent's assumptions.
- Review traceability
- Finding missing checks
- Assuming old checks still pass
.knowledge/github-action-templates/knowledge-pr-summary.yml
The shipped GitHub Action template shows how PR summaries can become repeatable automation.
- CI review setup
- Automated handoff proof
- Skipping human PR review
// commands to try
Commands and expected checks
node .knowledge/tools/generate-pr-summary.js - what it does
- A PR-facing trust and repair summary is generated.
- where to look
- .knowledge/maintenance/pr_summary.md
node .knowledge/tools/doctor.js - what it does
- Knowledge health is checked before review handoff.
- where to look
- .knowledge/maintenance/quality_report.json
node .knowledge/tools/build-routing-bundle.js - what it does
- Routing reflects current module boundaries before the review.
- where to look
- .knowledge/maintenance/routing_bundle.json
What the reviewer needs before approval
// practical reference
Change-impact review checklist
| Review area | Question | Action |
|---|---|---|
| Changed files | Which repository areas are touched? | Map files to module summaries. |
| Trust | Are affected modules trusted? | Re-read source when trust is weak. |
| Tests | What proves behavior? | Run or inspect relevant tests. |
| Evidence | What backs the agent's plan? | Check evidence files or note gaps. |
| Repair | What uncertainty remains? | Assign or document before merge. |
// quick FAQ
FAQ
Is PR impact review only for large changes?
No. Small changes can cross risky boundaries. The workflow can be lightweight, but it should still map files, trust, evidence, and tests.
Can the PR summary be generated automatically?
Yes, the free core can generate a PR summary from repository files. Human review still decides whether the diff is acceptable.
// next step
Review the wider impact of AI-generated PRs
Require the agent to attach module impact, trust state, evidence, tests, and repair items before reviewer handoff.