Code Review Workflow - Complete Guide

# Code Review Process

# 1. Pre-Review Checklist
# Before submitting for review:
- [ ] Code compiles without errors
- [ ] All tests pass
- [ ] Code follows style guidelines
- [ ] Documentation is updated
- [ ] No debugging code left
- [ ] Performance considerations addressed
- [ ] Security implications reviewed

# 2. Pull Request Creation
# Create PR with:
- Clear, descriptive title
- Detailed description
- Link to related issues
- Screenshots for UI changes
- Testing instructions
- Breaking changes noted

# 3. Review Assignment
# Assign reviewers based on:
- Code ownership (CODEOWNERS)
- Expertise in area
- Workload balance
- Availability
- Team rotation

# 4. Review Process
# Reviewers should:
- Understand the change
- Check for bugs
- Verify test coverage
- Ensure code quality
- Provide constructive feedback
- Approve or request changes

# 5. Response and Iteration
# Author should:
- Respond to all comments
- Make requested changes
- Ask questions if unclear
- Update PR description
- Re-request review when ready

# 6. Approval and Merge
# Final steps:
- All reviewers approve
- CI/CD checks pass
- Conflicts resolved
- Merge with appropriate strategy
- Delete feature branch

# 7. Post-Merge Review
# After merge:
- Monitor for issues
- Update documentation
- Share learnings
- Celebrate success

# Code Review Guidelines

# 1. Functionality
# Check if code:
- Solves the intended problem
- Handles edge cases
- Has proper error handling
- Follows business logic
- Meets requirements

# 2. Code Quality
# Review for:
- Readability and clarity
- Consistent coding style
- Proper naming conventions
- Appropriate abstractions
- DRY principle adherence

# 3. Performance
# Consider:
- Algorithm efficiency
- Memory usage
- Database queries
- Network requests
- Caching opportunities

# 4. Security
# Look for:
- Input validation
- Authentication checks
- Authorization controls
- Data sanitization
- Secure coding practices

# 5. Testing
# Verify:
- Unit test coverage
- Integration tests
- Test quality
- Edge case coverage
- Test maintainability

# 6. Documentation
# Check:
- Code comments
- API documentation
- README updates
- Changelog entries
- User documentation

# 7. Architecture
# Review:
- Design patterns
- Separation of concerns
- Dependencies
- Coupling and cohesion
- Scalability considerations

# 8. Maintainability
# Ensure:
- Code is easy to understand
- Changes are easy to make
- Dependencies are minimal
- Code is well-organized
- Future modifications are considered

# Code Review Tools

# 1. GitHub Pull Requests
# Features:
- Inline comments
- Review requests
- Status checks
- Merge strategies
- Code suggestions

# Configuration:
# .github/pull_request_template.md
## Description
Brief description of changes

## Type of Change
- [ ] Bug fix
- [ ] New feature
- [ ] Breaking change
- [ ] Documentation update

## Testing
- [ ] Unit tests pass
- [ ] Integration tests pass
- [ ] Manual testing completed

## Checklist
- [ ] Code follows style guidelines
- [ ] Self-review completed
- [ ] Documentation updated
- [ ] No breaking changes

# 2. GitLab Merge Requests
# Features:
- Code discussions
- Approval workflows
- Merge strategies
- CI/CD integration
- Code quality reports

# 3. Bitbucket Pull Requests
# Features:
- Inline comments
- Approval workflows
- Branch permissions
- CI/CD integration
- Code insights

# 4. Phabricator Differential
# Features:
- Code review workflow
- Task management
- Code quality tools
- Team collaboration
- Custom workflows

# 5. ReviewBoard
# Features:
- Code review platform
- Custom workflows
- Integration tools
- Team collaboration
- Code quality metrics

# 6. Gerrit
# Features:
- Code review system
- Git integration
- Approval workflows
- Access controls
- Code quality tools

# 7. VS Code Extensions
# Extensions for code review:
- GitLens
- GitHub Pull Requests
- GitLab Workflow
- Code Review
- Pull Request Manager

# 8. IDE Integration
# IDE features:
- Inline diff viewing
- Merge conflict resolution
- Code comparison
- Version control integration
- Review tools

# Code Review Best Practices

# 1. Review Size Guidelines
# Keep reviews manageable:
- Small, focused changes
- Maximum 400 lines per review
- Break large changes into smaller PRs
- Focus on one concept per PR
- Avoid mixing refactoring with features

# 2. Review Timing
# Review promptly:
- Review within 24 hours
- Set aside dedicated review time
- Avoid context switching
- Review when fresh and focused
- Communicate availability

# 3. Constructive Feedback
# Provide helpful feedback:
- Be specific and actionable
- Explain the "why" behind suggestions
- Offer alternatives when possible
- Acknowledge good practices
- Use positive language

# 4. Review Focus Areas
# Prioritize important aspects:
- Correctness and functionality
- Security implications
- Performance considerations
- Maintainability
- Test coverage

# 5. Communication Guidelines
# Effective communication:
- Use clear, concise language
- Ask questions when unclear
- Provide examples when helpful
- Be respectful and professional
- Focus on code, not person

# 6. Review Checklist
# Use consistent checklist:
- [ ] Code compiles and runs
- [ ] Tests pass and are adequate
- [ ] Code follows style guidelines
- [ ] Logic is correct and efficient
- [ ] Security considerations addressed
- [ ] Documentation is updated
- [ ] No debugging code left

# 7. Approval Criteria
# Clear approval standards:
- All comments addressed
- Tests pass
- Code quality standards met
- Security review completed
- Documentation updated
- Performance acceptable

# 8. Learning Opportunities
# Use reviews for learning:
- Share knowledge and best practices
- Explain complex concepts
- Suggest improvements
- Discuss alternatives
- Mentor junior developers

# 9. Review Metrics
# Track review effectiveness:
- Review time
- Comment quality
- Bug detection rate
- Knowledge sharing
- Team satisfaction

# 10. Continuous Improvement
# Improve review process:
- Gather feedback regularly
- Adjust guidelines as needed
- Share learnings with team
- Update tools and processes
- Celebrate successes

# Automated Review Tools

# 1. Static Code Analysis
# ESLint for JavaScript
# .eslintrc.js
module.exports = {
  extends: ['eslint:recommended'],
  rules: {
    'no-unused-vars': 'error',
    'no-console': 'warn',
    'prefer-const': 'error',
    'no-var': 'error'
  }
};

# Prettier for formatting
# .prettierrc
{
  "semi": true,
  "trailingComma": "es5",
  "singleQuote": true,
  "printWidth": 80
}

# 2. Code Quality Tools
# SonarQube integration
# .github/workflows/sonar.yml
name: SonarQube Analysis

on:
  pull_request:
    branches: [ main ]

jobs:
  sonar:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@v3
      
    - name: SonarQube Scan
      uses: SonarSource/sonarcloud-github-action@master
      env:
        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
        SONAR_TOKEN: ${{ secrets.SONAR_TOKEN }}

# 3. Security Scanning
# CodeQL analysis
# .github/workflows/codeql.yml
name: CodeQL Analysis

on:
  push:
    branches: [ main ]
  pull_request:
    branches: [ main ]

jobs:
  analyze:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@v3
      
    - name: Initialize CodeQL
      uses: github/codeql-action/init@v2
      with:
        languages: javascript
        
    - name: Perform CodeQL Analysis
      uses: github/codeql-action/analyze@v2

# 4. Dependency Scanning
# npm audit
# .github/workflows/security.yml
name: Security Scan

on:
  pull_request:
    branches: [ main ]

jobs:
  security:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@v3
      
    - name: Setup Node.js
      uses: actions/setup-node@v3
      with:
        node-version: '18'
        
    - name: Install dependencies
      run: npm ci
      
    - name: Run security audit
      run: npm audit --audit-level moderate

# 5. Test Coverage
# Jest coverage
# jest.config.js
module.exports = {
  collectCoverage: true,
  coverageThreshold: {
    global: {
      branches: 80,
      functions: 80,
      lines: 80,
      statements: 80
    }
  }
};

# 6. Performance Testing
# Lighthouse CI
# .github/workflows/lighthouse.yml
name: Lighthouse CI

on:
  pull_request:
    branches: [ main ]

jobs:
  lighthouse:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@v3
      
    - name: Setup Node.js
      uses: actions/setup-node@v3
      with:
        node-version: '18'
        
    - name: Install dependencies
      run: npm ci
      
    - name: Build application
      run: npm run build
      
    - name: Run Lighthouse CI
      run: npx @lhci/cli autorun
      env:
        LHCI_GITHUB_APP_TOKEN: ${{ secrets.LHCI_GITHUB_APP_TOKEN }}

# 7. Code Complexity Analysis
# Complexity analysis
# .github/workflows/complexity.yml
name: Complexity Analysis

on:
  pull_request:
    branches: [ main ]

jobs:
  complexity:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@v3
      
    - name: Setup Node.js
      uses: actions/setup-node@v3
      with:
        node-version: '18'
        
    - name: Install dependencies
      run: npm ci
      
    - name: Run complexity analysis
      run: npx complexity-report src/

# 8. Automated Review Comments
# PR comment automation
# .github/workflows/review-comments.yml
name: Automated Review Comments

on:
  pull_request:
    branches: [ main ]

jobs:
  review:
    runs-on: ubuntu-latest
    steps:
    - name: Checkout code
      uses: actions/checkout@v3
      
    - name: Run automated checks
      run: |
        # Run various checks
        npm run lint
        npm test
        npm run security-audit
        
    - name: Comment on PR
      uses: actions/github-script@v6
      with:
        script: |
          github.rest.issues.createComment({
            issue_number: context.issue.number,
            owner: context.repo.owner,
            repo: context.repo.repo,
            body: 'Automated checks completed successfully!'
          })