- Translate all 101 markdown files: P1 core, all 10 modules, examples, auxiliary docs (CONTRIBUTING, CODE_OF_CONDUCT, SECURITY, CLAUDE.md, etc.), peripheral docs (.github/, docs/, resources/, scripts/) - Translate comments and user-facing messages in 06-hooks/*.sh examples - Copy 05-mcp/*.json examples (standard JSON, no comments) - Update root README.md language switcher to include 日本語 - Add ja/TRANSLATION_NOTES.md (glossary + style guide) All translations pass pre-commit quality gates (markdown-lint, cross-references, mermaid-syntax, link-check, build-epub).
541 lines
16 KiB
Markdown
541 lines
16 KiB
Markdown
<!-- i18n-source: 09-advanced-features/planning-mode-examples.md -->
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<!-- i18n-source-sha: 7f2e773 -->
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<!-- i18n-date: 2026-04-27 -->
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# プランニングモードの例
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Claude Code でプランニングモードを効果的に使う実例集。
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## 例 1: REST API の構築
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### プランニングモードを使わない場合
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```
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User: Build a REST API for a blog
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Claude: I'll create the API...
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[Starts coding immediately, may miss requirements]
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```
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### プランニングモードを使う場合
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```
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User: /plan Build a REST API for a blog
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Claude: Let me create a comprehensive plan for the blog API.
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## Blog REST API Implementation Plan
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### Phase 1: Project Setup (15 min)
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1. Initialize Node.js project with Express
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2. Set up TypeScript configuration
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3. Install dependencies (express, pg, jwt, joi)
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4. Configure environment variables
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5. Set up project structure
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### Phase 2: Database Layer (30 min)
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6. Design database schema
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- users table (id, email, password_hash, created_at)
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- posts table (id, user_id, title, content, published, created_at, updated_at)
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- comments table (id, post_id, user_id, content, created_at)
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7. Create migration files
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8. Set up database connection pool
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9. Implement database models
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### Phase 3: Authentication (45 min)
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10. Implement user registration endpoint
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11. Implement login endpoint with JWT
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12. Create authentication middleware
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13. Add password hashing with bcrypt
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14. Implement token refresh logic
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### Phase 4: Posts API (40 min)
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15. GET /api/posts - List all published posts (with pagination)
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16. GET /api/posts/:id - Get single post
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17. POST /api/posts - Create new post (auth required)
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18. PUT /api/posts/:id - Update post (auth required, ownership check)
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19. DELETE /api/posts/:id - Delete post (auth required, ownership check)
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20. GET /api/users/:id/posts - Get user's posts
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### Phase 5: Comments API (30 min)
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21. GET /api/posts/:id/comments - Get post comments
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22. POST /api/posts/:id/comments - Add comment (auth required)
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23. DELETE /api/comments/:id - Delete comment (auth required, ownership check)
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### Phase 6: Validation & Error Handling (30 min)
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24. Add request validation with Joi
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25. Implement global error handler
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26. Add input sanitization
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27. Implement rate limiting
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### Phase 7: Testing (60 min)
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28. Write unit tests for models
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29. Write integration tests for auth endpoints
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30. Write integration tests for posts endpoints
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31. Write integration tests for comments endpoints
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32. Achieve 80%+ code coverage
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### Phase 8: Documentation & Deployment (30 min)
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33. Generate API documentation with Swagger
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34. Create README with setup instructions
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35. Add Docker configuration
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36. Set up CI/CD pipeline
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**Estimated Time**: 4.5 hours
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**Files to Create**: ~25
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**Key Technologies**: Express, PostgreSQL, JWT, TypeScript
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**API Endpoints Summary**:
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- Authentication: 2 endpoints
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- Posts: 6 endpoints
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- Comments: 3 endpoints
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- Total: 11 endpoints
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Ready to proceed? (yes/no/modify)
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User: yes
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Claude: Starting Phase 1: Project Setup...
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[Implements each phase systematically]
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```
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## 例 2: データベースマイグレーション
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### プランニングモードを使う場合
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```
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User: /plan Migrate from MongoDB to PostgreSQL
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Claude: This is a complex migration. Let me create a detailed plan.
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## MongoDB to PostgreSQL Migration Plan
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### Phase 1: Analysis & Preparation (Day 1)
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1. Analyze current MongoDB schema
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2. Identify data relationships and constraints
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3. Document current data volume and growth rate
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4. Design equivalent PostgreSQL schema
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5. Plan data type mappings
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6. Identify potential migration challenges
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### Phase 2: PostgreSQL Setup (Day 1)
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7. Set up PostgreSQL database
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8. Create schema with tables, indexes, constraints
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9. Set up connection pooling
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10. Configure backup strategy
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### Phase 3: Dual-Write Implementation (Day 2-3)
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11. Create database abstraction layer
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12. Implement dual-write to both databases
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13. Add data consistency checks
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14. Deploy dual-write to staging
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15. Monitor for issues
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### Phase 4: Data Migration (Day 4)
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16. Create data export scripts for MongoDB
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17. Create data import scripts for PostgreSQL
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18. Implement data transformation logic
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19. Run initial migration on copy of production data
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20. Validate migrated data integrity
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### Phase 5: Gradual Cutover (Day 5-7)
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21. Enable dual-write in production
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22. Migrate historical data in batches
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23. Continuously validate data consistency
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24. Monitor both databases
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25. Fix any data synchronization issues
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### Phase 6: PostgreSQL Primary (Day 8)
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26. Switch read operations to PostgreSQL
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27. Monitor query performance
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28. Optimize slow queries
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29. Continue dual-write for safety
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### Phase 7: MongoDB Retirement (Day 9-10)
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30. Stop writing to MongoDB
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31. Keep MongoDB as backup for 2 weeks
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32. Remove MongoDB dependencies from code
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33. Archive MongoDB data
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34. Decommission MongoDB instance
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**Estimated Time**: 10 days
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**Risk Level**: High
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**Rollback Strategy**: Keep MongoDB running with dual-write
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**Success Criteria**:
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- Zero data loss
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- <5% performance regression
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- All tests passing
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**Key Risks**:
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1. Data inconsistency during migration
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2. Query performance degradation
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3. Application downtime
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4. Data loss
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**Mitigation**:
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- Dual-write pattern for safety
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- Gradual cutover
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- Continuous monitoring
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- Quick rollback capability
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Proceed with this plan? (yes/no/modify)
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User: Modify - let's add a rollback plan for each phase
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Claude: Updated plan with rollback procedures for each phase...
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```
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## 例 3: フロントエンドのリファクタリング
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```
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User: /plan Refactor our React app from class components to hooks
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Claude: I'll create a systematic refactoring plan.
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## React Class to Hooks Migration Plan
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### Phase 1: Preparation & Analysis (2 hours)
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1. Audit all class components (find all .jsx/.tsx files)
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2. Categorize by complexity:
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- Simple (state only): ~15 components
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- Medium (lifecycle methods): ~23 components
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- Complex (multiple lifecycle, refs): ~8 components
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3. Identify third-party libraries that need updates
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4. Create component dependency graph
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5. Plan migration order (leaf nodes first)
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### Phase 2: Setup & Tooling (1 hour)
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6. Update React to v18+
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7. Set up ESLint rules for hooks
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8. Create conversion templates
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9. Set up automated tests
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10. Create checkpoint before starting
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### Phase 3: Migrate Simple Components (4 hours)
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11. Convert simple stateful components (15 components)
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12. Replace this.state with useState
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13. Replace this.setState with state setters
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14. Test each component after conversion
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15. Update tests
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### Phase 4: Migrate Medium Components (8 hours)
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16. Convert components with lifecycle methods (23 components)
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17. Replace componentDidMount with useEffect
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18. Replace componentDidUpdate with useEffect
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19. Replace componentWillUnmount with useEffect cleanup
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20. Test thoroughly
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### Phase 5: Migrate Complex Components (12 hours)
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21. Convert complex components (8 components)
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22. Replace refs with useRef
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23. Extract custom hooks for shared logic
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24. Handle edge cases (multiple useEffect)
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25. Extensive testing
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### Phase 6: Shared Logic Extraction (6 hours)
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26. Identify duplicated logic across components
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27. Create custom hooks:
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- useAuth
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- useFetch
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- useLocalStorage
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- useDebounce
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28. Refactor components to use custom hooks
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29. Test custom hooks independently
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### Phase 7: Performance Optimization (4 hours)
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30. Add React.memo where needed
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31. Optimize with useCallback
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32. Optimize with useMemo
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33. Profile and fix performance regressions
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### Phase 8: Cleanup & Documentation (2 hours)
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34. Remove unused class component utilities
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35. Update documentation
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36. Update coding guidelines
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37. Create migration guide for team
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**Estimated Time**: 5 days (39 hours)
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**Files to Modify**: 46 components
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**Risk Level**: Medium
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**Migration Order**:
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1. Leaf components (no dependencies)
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2. Mid-level components
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3. Top-level container components
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4. App.jsx (last)
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**Testing Strategy**:
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- Unit tests for each component
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- Integration tests for user flows
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- Visual regression tests
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- Performance benchmarks
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**Success Metrics**:
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- All tests passing
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- No visual regressions
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- Performance maintained or improved
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- Bundle size not significantly increased
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Proceed? (yes/no/modify)
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```
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## 例 4: セキュリティ実装
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```
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User: /plan Implement comprehensive security for our web app
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Claude: Let me create a thorough security implementation plan.
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## Web Application Security Implementation Plan
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### Phase 1: Security Audit (Day 1)
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1. Run automated security scanners (npm audit, Snyk)
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2. Review dependencies for vulnerabilities
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3. Check OWASP Top 10 compliance
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4. Audit authentication flows
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5. Review data handling practices
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6. Document current security gaps
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### Phase 2: Authentication Hardening (Day 2-3)
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7. Implement strong password requirements
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8. Add password strength meter
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9. Implement rate limiting on login
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10. Add account lockout after failed attempts
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11. Implement 2FA (TOTP)
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12. Add session management improvements
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13. Implement secure password reset flow
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### Phase 3: Authorization & Access Control (Day 3-4)
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14. Implement RBAC (Role-Based Access Control)
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15. Add permission checks on all endpoints
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16. Implement principle of least privilege
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17. Add audit logging for sensitive operations
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18. Implement resource-level permissions
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### Phase 4: Data Protection (Day 4-5)
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19. Implement encryption at rest (sensitive fields)
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20. Ensure TLS/SSL for all communications
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21. Implement secure session storage
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22. Add PII data masking in logs
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23. Implement data retention policies
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24. Add secure file upload handling
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### Phase 5: Input Validation & Sanitization (Day 5-6)
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25. Implement input validation on all endpoints
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26. Add XSS protection (Content Security Policy)
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27. Implement SQL injection prevention (parameterized queries)
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28. Add CSRF protection
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29. Implement request size limits
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30. Add file upload type validation
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### Phase 6: Security Headers & Configuration (Day 6)
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31. Add security headers:
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- Strict-Transport-Security
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- X-Content-Type-Options
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- X-Frame-Options
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- X-XSS-Protection
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- Content-Security-Policy
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32. Configure CORS properly
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33. Disable unnecessary HTTP methods
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34. Remove server version headers
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### Phase 7: Monitoring & Logging (Day 7)
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35. Implement security event logging
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36. Add anomaly detection
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37. Set up intrusion detection
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38. Implement real-time alerting
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39. Create security dashboard
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### Phase 8: Testing & Documentation (Day 8-9)
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40. Perform penetration testing
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41. Run security scanners
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42. Test all security features
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43. Create security documentation
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44. Train team on security practices
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45. Create incident response plan
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### Phase 9: Compliance & Policies (Day 10)
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46. GDPR compliance check
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47. Create privacy policy
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48. Implement data subject rights
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49. Add cookie consent
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50. Create security policies documentation
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**Estimated Time**: 10 days
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**Risk Level**: Critical
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**Priority**: High
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**Security Improvements Summary**:
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- Authentication: 7 enhancements
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- Authorization: 5 enhancements
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- Data Protection: 6 enhancements
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- Input Validation: 6 enhancements
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- Infrastructure: 9 enhancements
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- Monitoring: 5 enhancements
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**Compliance**: OWASP Top 10, GDPR
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**Success Criteria**:
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- Zero critical vulnerabilities
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- All OWASP Top 10 mitigated
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- Security score >90/100
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- All pen test issues resolved
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Proceed? (yes/no/modify)
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```
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## 例 5: パフォーマンス最適化
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```
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User: /plan Optimize our slow e-commerce website
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Claude: Let me create a comprehensive performance optimization plan.
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## E-commerce Performance Optimization Plan
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### Phase 1: Performance Audit (4 hours)
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1. Run Lighthouse audit
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2. Analyze Chrome DevTools performance profile
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3. Measure Core Web Vitals:
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- LCP (Largest Contentful Paint)
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- FID (First Input Delay)
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- CLS (Cumulative Layout Shift)
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4. Identify performance bottlenecks
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5. Create baseline performance metrics
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**Current Metrics**:
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- LCP: 4.2s (target: <2.5s)
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- FID: 280ms (target: <100ms)
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- CLS: 0.25 (target: <0.1)
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- Page Load: 8.3s (target: <3s)
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### Phase 2: Image Optimization (6 hours)
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6. Convert images to WebP format
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7. Implement responsive images
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8. Add lazy loading for images
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9. Optimize image sizes (compression)
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10. Implement CDN for images
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11. Add image placeholders
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**Expected Impact**: -40% load time
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### Phase 3: Code Splitting & Lazy Loading (8 hours)
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12. Implement route-based code splitting
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13. Lazy load non-critical components
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14. Split vendor bundles
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15. Optimize chunk sizes
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16. Implement dynamic imports
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17. Add preloading for critical resources
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**Expected Impact**: -30% initial bundle size
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### Phase 4: Caching Strategy (6 hours)
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18. Implement browser caching (Cache-Control)
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19. Add service worker for offline support
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20. Implement API response caching
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21. Add Redis cache for database queries
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22. Implement stale-while-revalidate
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23. Configure CDN caching
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**Expected Impact**: -50% API response time
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### Phase 5: Database Optimization (8 hours)
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24. Add database indexes
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25. Optimize slow queries (>100ms)
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26. Implement query result caching
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27. Add connection pooling
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28. Denormalize where appropriate
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29. Implement database read replicas
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**Expected Impact**: -60% database query time
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### Phase 6: Frontend Optimization (10 hours)
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30. Minimize and compress JavaScript
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31. Minimize and compress CSS
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32. Remove unused CSS (PurgeCSS)
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33. Implement critical CSS
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34. Defer non-critical JavaScript
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35. Reduce DOM size
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36. Optimize React rendering (memo, useMemo)
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37. Implement virtual scrolling for long lists
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**Expected Impact**: -35% JavaScript execution time
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### Phase 7: Network Optimization (4 hours)
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38. Enable HTTP/2
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39. Implement resource hints (preconnect, prefetch)
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40. Reduce number of HTTP requests
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41. Enable Brotli compression
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42. Optimize third-party scripts
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**Expected Impact**: -25% network time
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### Phase 8: Monitoring & Testing (4 hours)
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43. Set up performance monitoring (Datadog/New Relic)
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44. Add Real User Monitoring (RUM)
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45. Create performance budgets
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46. Set up automated Lighthouse CI
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47. Test on real devices
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**Estimated Time**: 50 hours (2 weeks)
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**Target Metrics** (90th percentile):
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- LCP: <2.0s (from 4.2s) ✅
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- FID: <50ms (from 280ms) ✅
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- CLS: <0.05 (from 0.25) ✅
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- Page Load: <2.5s (from 8.3s) ✅
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**Expected Revenue Impact**:
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- 100ms faster = 1% conversion increase
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- Target: 5.8s improvement = ~58% conversion increase
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- Estimated additional revenue: Significant
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**Priority Order**:
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1. Image optimization (quick wins)
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2. Code splitting (high impact)
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3. Caching (high impact)
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4. Database optimization (critical)
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5. Frontend optimization (polish)
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Proceed with this plan? (yes/no/modify)
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```
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## 重要なポイント
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### プランニングモードの利点
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1. **明確化**: 着手前にロードマップが定まる
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2. **見積もり**: 時間と工数の見積もりが得られる
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3. **リスク評価**: 潜在的な問題を早期に特定できる
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4. **優先順位付け**: タスクの論理的な順序を整理できる
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5. **承認**: 実行前にレビュー・承認できる
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6. **修正**: フィードバックに応じて計画を調整できる
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### プランニングモードを使うべきとき
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✅ **常に使うべき場面**:
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- 複数日にわたるプロジェクト
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- チームでの協業
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- 重要なシステム変更
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- 新しい概念の学習
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- 複雑なリファクタリング
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❌ **使うべきでない場面**:
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- バグ修正
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- 小さな調整
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- 単純な質問
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- 軽い試行錯誤
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### ベストプラクティス
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1. 承認前に計画を **慎重にレビュー** する
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2. 問題を見つけたら **計画を修正** する
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3. 複雑なタスクは **分解** する
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4. **現実的な** 時間見積もりを行う
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5. **ロールバック** 戦略を含める
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6. **成功基準** を設ける
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7. 各フェーズの **テスト計画** を含める
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**最終更新**: 2026 年 4 月 9 日
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