- Initialize project with package.json
- Set up development environment (Node.js, npm/yarn)
- Choose and configure frontend framework (React/Vue)
- Set up build tools (Webpack/Vite)
- Configure project structure and folder organization
- Set up version control with Git
- Create basic project documentation
- Create Express server with configuration for data directory
- Implement command-line argument parsing for --data-dir flag
- Develop file system operations for JSON data persistence
- Create API endpoints for:
- Loading existing vocabulary data
- Saving new vocabulary sets
- Retrieving specific vocabulary sets
- Updating review status
- Implement data validation and error handling
- Add data backup and integrity checks
- Create data model schemas for vocabulary sets
- Integrate with chosen LLM API (OpenAI, Anthropic, etc.)
- Implement the detailed prompt structure provided
- Create API wrapper for consistent communication with LLM
- Add error handling for API failures and rate limits
- Implement caching for generated content to avoid repeated API calls
- Add retry logic for failed requests
- Design JSON schema for storing vocabulary data
- Implement functions to save new vocabulary sets to JSON
- Create functions to load existing data on startup
- Add functions to update and modify existing entries
- Implement data migration system for schema changes
- Create backup functionality for data safety
- Design and implement main application layout
- Create vocabulary card components
- Implement story display component
- Design history browsing interface
- Create responsive design for different screen sizes
- Implement dark/light mode toggle
- Add loading states and error handling UI
- Implement new vocabulary generation interface
- Create study mode for current vocabulary set
- Design interactive review functionality
- Implement mini-narrative story display
- Add search and filtering capabilities for history
- Create progress tracking visualization
- Implement bookmarking or favorite functionality
- Create algorithm for selecting words for review from local storage
- Implement interactive matching exercise (5 words vs 5 definitions/contexts)
- Create UI for left-right matching interface
- Implement click-based pairing functionality
- Add feedback system for correct/incorrect matches
- Create review statistics and analytics
- Implement review history tracking
- Add scoring system for matching exercises
- Implement export functionality for vocabulary sets
- Add tagging system for organizing vocabulary by theme
- Create custom learning paths or categories
- Add audio pronunciation features
- Implement social features (optional)
- Add gamification elements (streaks, achievements)
- Write unit tests for backend API endpoints
- Create integration tests for data persistence
- Implement frontend component tests
- Perform end-to-end testing of user flows
- Test data directory configuration and loading
- Conduct cross-browser compatibility testing
- Perform performance testing with large datasets
- Implement input validation and sanitization
- Add rate limiting for API calls
- Optimize data loading for large history files
- Implement proper error handling and logging
- Add security headers to HTTP responses
- Optimize frontend bundle size
- Implement lazy loading for better performance
- Write user documentation and instructions
- Create API documentation for developers
- Prepare deployment configuration
- Set up CI/CD pipeline (optional)
- Create installation and setup guide
- Document command-line options and usage
- Prepare troubleshooting guide
- Conduct user acceptance testing
- Fix bugs and issues discovered during testing
- Optimize UI/UX based on feedback
- Add final polish to user interface
- Ensure all features work as specified in requirements
- Verify data persistence works correctly
- Finalize all documentation