Comment Generation
Generate doc comments for non-obvious functions; skip trivial ones and avoid noise.
Why
GitHub's 2024 survey found 81% of developers expect AI tools to become more integrated in documenting code over the next year, the highest of any workflow. Good doc comments help readers and AI context; bad ones ('increment x by 1') are noise.
Generating for non-obvious functions only, with intent + edge cases, adds signal without clutter.
When
Use on undocumented non-trivial functions. Skip trivial getters/setters.
How
Example
Common Problems
- ⚠Error: Cannot find module 'xxx' after refactor → re-run `npm install` and `npx tsc --noEmit`; refactors often drop or rename imports.
- ⚠Error: "Cannot read properties of undefined" after refactor → run the test suite (`npm test`) to catch behavior changes; refactor must be behavior-preserving.
- ⚠Error: Docs drift: example no longer runs → execute examples in CI (`npm run docs:check`); tested examples never drift.
Best Practices
- ✓Document intent and edge cases, not what the code does.
- ✓Skip trivial functions; noise hurts readability.
- ✓Measure the outcome with a concrete metric (time saved, defect rate, test coverage) so the practice can be justified and improved.
FAQ
What is Comment Generation?
Generate doc comments for non-obvious functions; skip trivial ones and avoid noise. It helps developers quickly grasp the core value and use cases of Comment Generation.
How do I get started with Comment Generation?
To get started with Comment Generation, focus on these points first: List functions without doc comments.
What are common mistakes with Comment Generation?
Common mistakes when using Comment Generation include: Error: Cannot find module 'xxx' after refactor → re-run `npm install` and `npx tsc --noEmit`; refactors often drop or rename imports.; Error: "Cannot read properties of undefined" after refactor → run the test suite (`npm test`) to catch behavior changes; refactor must be behavior-preserving.; Error: Docs drift: example no longer runs → execute examples in CI (`npm run docs:check`); tested examples never drift..
What are the best practices for Comment Generation?
Best practices for Comment Generation include: Document intent and edge cases, not what the code does.; Skip trivial functions; noise hurts readability.; Measure the outcome with a concrete metric (time saved, defect rate, test coverage) so the practice can be justified and improved..
How do I learn more about Comment Generation?
Start with the official docs, then search real-world examples on GitHub. Validate patterns in a small scratch repo before applying them to production code.