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Reviewing Copilot-Authored Code: A Checklist
A 10-item code-review checklist for AI output.
What You Will Learn
- Apply a 10-item review checklist.
- Catch common AI-code smells.
- Verify behavior with tests.
- Review security and performance.
- Document review findings.
Why This Matters
AI-authored code needs different review than human-authored code. The failure modes are different: hallucinated APIs, generic patterns, missing edge cases. A specific checklist catches them.
Concept Explained
A 10-item checklist for reviewing Copilot-authored code: imports, APIs, types, edge cases, security, performance, tests, conventions, documentation, behavior.
How It Works
For each Copilot-suggested diff, run through the 10-item checklist. Reject if any item fails. Iterate with Copilot to fix issues.
Step-by-Step Tutorial
1. 1. Imports
Are all imports real? Any hallucinated packages?2. 2. APIs
Do all function/method names exist? Check official docs.3. 3. Types
Are types correct? Any `any` slipping in?4. 4. Edge cases
Does it handle null, empty, very large, invalid?5. 5. Security
Input validation? Auth? Secrets? Injection?6. 6. Performance
N+1 queries? Unnecessary re-renders? O(n²)?7. 7. Tests
Are tests included? Do they test the right behavior?8. 8. Conventions
Matches project style? Naming? Structure?9. 9. Documentation
Docstrings? Comments where needed?10. 10. Behavior
Does it actually do what was asked? Run it.Real-World Example
A team adopted the 10-item checklist for Copilot-suggested code. Caught: 2 hallucinated APIs, 5 missing edge cases, 1 security issue (SQL injection). Defects in production dropped 40%.
Example Prompts / Commands / Code
Copilot Code Review Checklist:
[ ] 1. Imports: all real, no hallucinated packages
[ ] 2. APIs: all function names exist (verified in docs)
[ ] 3. Types: correct, no `any` slipping in
[ ] 4. Edge cases: handles null, empty, very large, invalid
[ ] 5. Security: input validation, auth, no secrets, no injection
[ ] 6. Performance: no N+1, no unnecessary re-renders, no O(n²)
[ ] 7. Tests: included, test right behavior, cover edge cases
[ ] 8. Conventions: matches project style, naming, structure
[ ] 9. Documentation: docstrings, comments where needed
[ ] 10. Behavior: does what was asked (run it)
If any item fails: reject and iterate with Copilot.
Common Mistakes
- Skipping the checklist on 'small' suggestions — small things have big bugs.
- Not verifying APIs against docs.
- Not running tests after accepting.
- Treating the checklist as a formality — actually check each item.
Best Practices
- Apply the checklist to every Copilot-suggested diff.
- Verify APIs against official docs (not Copilot's word).
- Run tests after accepting.
- Reject and iterate if any item fails.
- Document patterns you see repeatedly — feed back into copilot-instructions.md.
Troubleshooting
| Problem | How to Fix |
|---|---|
| Checklist too slow | It's faster than debugging production bugs. Practice makes it fast. |
| Always failing on item 4 (edge cases) | Add 'handle edge cases explicitly' to your prompt template. |
Practical Exercise
Your Turn
Take a recent Copilot-suggested diff. Run the 10-item checklist. How many items pass? What issues do you find?
Professional Challenge
Build a GitHub Action that posts the checklist as a comment on any PR with Copilot-authored commits. Force reviewers to check each box.
Key Takeaways
- 10-item checklist for AI-authored code.
- Items: imports, APIs, types, edge cases, security, performance, tests, conventions, docs, behavior.
- Verify APIs against official docs.
- Run tests after accepting.
- Reject and iterate if any item fails.
Frequently Asked Questions
Should I use this for human-authored code too?
Can I add items?
Further Reading
Official References
SEO Metadata
SEO title: Reviewing Copilot-Authored Code: A Checklist
Meta description: A 10-item code-review checklist for AI output.
Primary keyword: reviewing copilot-authored code
Secondary keywords: reviewing copilot-authored code: a checklist
Search intent: Informational
URL slug: /reviewing-copilot-authored-code-checklist
Categories: AI Tools, GitHub Copilot
Tags: GitHub Copilot, Intermediate, Code Review, Checklist, Verification, IMCSEIAN, Tutorial, IMCSEIAN
Featured image concept: IMCSEIAN lesson card for Reviewing Copilot-Authored Code: A Checklist
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