Code reviews are essential for maintaining code quality, sharing knowledge, and ensuring consistency across our codebase. This guide establishes standards and best practices for both reviewers and authors.
- Constructive Feedback: Focus on code, not the person
- Learning Opportunity: Share knowledge and learn from others
- Quality Assurance: Catch bugs and improve maintainability
- Consistency: Ensure adherence to team standards
- Security: Identify potential security vulnerabilities
- Correctness: Does the code do what it's supposed to do?
- Design: Is the code well-designed for its purpose?
- Functionality: Does it work as intended for users?
- Complexity: Is it more complex than necessary?
- Tests: Are there appropriate tests?
- Naming: Are variables, functions, and classes well-named?
- Comments: Are comments clear and useful?
- Documentation: Is documentation updated?
- Self-review: Review your own code first
- Tests pass: All automated tests are passing
- Linting: Code passes all linting checks
- Documentation: Update relevant documentation
- Commit messages: Follow conventional commit format
- PR description: Clear description of changes
- Screenshots: Include for UI changes
- Breaking changes: Clearly marked and documented
## Description
Brief description of changes and why they were made.
## Type of Change
- [ ] Bug fix (non-breaking change which fixes an issue)
- [ ] New feature (non-breaking change which adds functionality)
- [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
- [ ] Documentation update
## Testing
- [ ] Unit tests added/updated
- [ ] Integration tests added/updated
- [ ] Manual testing completed
- [ ] Tests pass locally
## Screenshots (if applicable)
Include screenshots for UI changes.
## Checklist
- [ ] My code follows the style guidelines of this project
- [ ] I have performed a self-review of my own code
- [ ] I have commented my code, particularly in hard-to-understand areas
- [ ] I have made corresponding changes to the documentation
- [ ] My changes generate no new warnings
- [ ] I have added tests that prove my fix is effective or that my feature works
- [ ] New and existing unit tests pass locally with my changes- Required reviewers: At least 2 team members
- Code owners: Automatically assigned for specific areas
- Senior developers: Required for architectural changes
- Domain experts: For specific technology areas
- Security team: For security-related changes
- DevOps team: For infrastructure changes
- Initial review: Within 24 hours
- Follow-up reviews: Within 4 hours
- Urgent fixes: Within 2 hours
- Documentation: Within 48 hours
- Critical bug fixes - Immediate review
- Security patches - Within 2 hours
- Feature development - Standard timeline
- Refactoring - Standard timeline
- Documentation - Flexible timeline
- Requirements: Code meets acceptance criteria
- Edge cases: Handles error conditions appropriately
- Performance: No obvious performance issues
- Security: No security vulnerabilities
- Accessibility: UI changes follow accessibility guidelines
- Single responsibility: Functions/classes have single purpose
- DRY principle: No unnecessary code duplication
- YAGNI: No over-engineering for future needs
- Naming: Clear, descriptive names for variables/functions
- Magic numbers: Constants are properly defined
- Error handling: Appropriate error handling implemented
- Unit tests: Critical functions have unit tests
- Integration tests: API endpoints have integration tests
- Test coverage: Coverage doesn't decrease significantly
- Test quality: Tests are readable and maintainable
- Mock usage: Appropriate use of mocks and stubs
- Component structure: Components are well-structured
- State management: Proper state management patterns
- Performance: No unnecessary re-renders
- Accessibility: ARIA labels and keyboard navigation
- Responsive design: Works on different screen sizes
- Bundle size: No significant increase in bundle size
- API design: RESTful API design principles
- Database queries: Efficient database queries
- Migration safety: Database migrations are safe
- Authentication: Proper authentication/authorization
- Rate limiting: API endpoints have appropriate rate limiting
- Input validation: All inputs are properly validated
- Code comments: Complex logic is commented
- API documentation: New endpoints documented
- README updates: README updated for new features
- Architecture docs: Architecture changes documented
🚫 **BLOCKING**: This could cause a security vulnerability
- Security issues
- Breaking changes without migration
- Performance regressions
- Critical bugs
💡 **SUGGESTION**: Consider using a Map instead of Object for better performance
- Code quality improvements
- Performance optimizations
- Better design patterns
- Maintainability improvements
❓ **QUESTION**: What happens if this API call fails?
- Understanding the approach
- Clarifying requirements
- Learning opportunities
🎨 **NITPICK**: Consider renaming this variable for clarity
- Style preferences
- Minor improvements
- Non-critical suggestions
💡 **SUGGESTION**: Consider extracting this logic into a separate function to improve readability and testability.
```javascript
// Instead of:
const processUserData = (users) => {
// 50 lines of complex logic
}
// Consider:
const validateUsers = (users) => { /* validation logic */ }
const transformUsers = (users) => { /* transformation logic */ }
const processUserData = (users) => {
const validUsers = validateUsers(users);
return transformUsers(validUsers);
}❓ QUESTION: How do we handle the case where the API returns a 429 (rate limited) response? Should we implement retry logic?
🚫 BLOCKING: This SQL query is vulnerable to injection attacks. Please use parameterized queries.
#### Poor Comments
```markdown
// Bad - Not constructive
This is wrong.
// Bad - Personal preference without explanation
I don't like this approach.
// Bad - Too vague
Can you improve this?
- Small PRs: Keep PRs focused and under 400 lines when possible
- Atomic commits: Each commit should represent a logical change
- Clear intent: Make the purpose of changes obvious
- Test coverage: Include appropriate tests
- Documentation: Update docs for public APIs
- Acknowledge feedback: Respond to all comments
- Ask for clarification: If feedback is unclear
- Explain decisions: When you disagree with suggestions
- Mark resolved: Mark comments as resolved when addressed
- Thank reviewers: Appreciate the time spent reviewing
- Understand context: Read the PR description and related issues
- Check out code: Test complex changes locally
- Focus on important issues: Don't nitpick trivial matters
- Provide alternatives: Suggest concrete improvements
- Recognize good work: Acknowledge well-written code
- Review promptly: Don't let PRs sit too long
- Batch comments: Provide all feedback in one review cycle
- Use tools: Leverage IDE and diff tools
- Focus areas: Prioritize security, correctness, and design
- Approve when ready: Don't delay approval for minor issues
- Linting: ESLint, Pylint, Black
- Type checking: TypeScript, mypy
- Security scanning: CodeQL, Snyk
- Test coverage: Coverage reports
- Performance: Bundle analysis, load testing
- GitHub: Pull request reviews with suggestions
- IDE plugins: Review code in your editor
- CodeStream: Real-time collaboration
- SonarQube: Code quality analysis
- Discussion: Have a respectful discussion
- Team input: Involve other team members if needed
- Tech lead decision: Escalate to technical leadership
- Documentation: Document the decision for future reference
- Multiple reviewers: Don't wait for all reviewers
- Follow-up PRs: Address non-blocking issues in follow-up
- Pair review: Review together for complex changes
- Time limits: Set reasonable time limits for reviews
- Review turnaround time: Time from PR creation to merge
- Number of review cycles: How many back-and-forth rounds
- Bug escape rate: Bugs found in production that should have been caught
- Review participation: Ensure all team members participate
- Retrospectives: Discuss review process in team retrospectives
- Training: Provide training on effective code reviews
- Tool updates: Keep review tools up to date
- Process refinement: Regularly update these guidelines
## Fix user authentication timeout issue
### Problem
Users were being logged out after 30 minutes of inactivity, even when actively using the application.
### Solution
- Updated session management to reset timeout on user activity
- Added client-side activity detection
- Implemented proper token refresh mechanism
### Testing
- Added unit tests for session management
- Manual testing with different activity patterns
- Verified in staging environment
### Breaking Changes
None
### Screenshots
[Include screenshots of login flow]Overall looks good! The session management improvements are well thought out. A few suggestions:
💡 **SUGGESTION**: Consider debouncing the activity detection to avoid excessive API calls
- Line 45: The current implementation fires on every mouse move
- Could debounce to every 30 seconds to reduce server load
❓ **QUESTION**: What happens if the token refresh fails?
- Should we show a user-friendly message?
- How do we handle network errors during refresh?
🎨 **NITPICK**: The function name `checkUserActivity` could be more descriptive
- Maybe `trackUserActivityForSession` or `updateSessionOnActivity`?
✅ **APPROVED**: Great work on the comprehensive tests!Effective code reviews are a skill that improves with practice. Remember that the goal is to improve code quality while fostering a positive team culture. Focus on being constructive, thorough, and respectful in all interactions.
This document is a living guide. Please contribute improvements based on your experience and team feedback.