This repository contains comprehensive planning and research documentation for building a modern, responsive React-based puzzle application. The application allows users to upload photos and solve them as customizable jigsaw puzzles across mobile, tablet, and desktop devices.
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- Project executive summary
- Core features breakdown
- Technical approach philosophy
- Development phases overview
- Success metrics and risk mitigation
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- Detailed technology selections with justifications
- Library comparisons (Vite vs Next.js, Zustand vs Redux, dnd-kit vs react-dnd, Konva vs Fabric)
- Code examples for each technology
- Complete stack architecture
- Bundle size and performance considerations
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- System architecture overview
- Component hierarchy and structure
- State management design
- Service layer implementations
- Puzzle generation algorithms
- Drag-and-drop implementation
- Performance optimization strategies
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- Phase-by-phase development guide
- Week-by-week timeline (6 weeks total)
- Detailed code examples
- Project setup instructions
- Testing strategies
- Success criteria checklist
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- Mobile, tablet, and desktop layouts
- Touch event handling
- Pointer events implementation
- Responsive breakpoint strategy
- Performance optimizations for mobile
- Accessibility considerations
- Device testing matrix
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- MVP feature checklist
- Post-MVP enhancement roadmap
- Future feature ideas
- Priority matrix
- Implementation complexity analysis
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- Localhost setup instructions
- Development and production modes
- localStorage configuration
- Client-side image processing
- No backend required
- Performance optimization for local use
- ✅ Photo upload with drag-and-drop
- ✅ Difficulty presets (Easy, Medium, Hard)
- ✅ Custom piece count configuration
- ✅ Jigsaw puzzle generation with realistic shapes
- ✅ Drag-and-drop gameplay (mouse + touch)
- ✅ Snap-to-grid functionality
- ✅ Progress tracking
- ✅ Completion celebration (confetti)
- ✅ Fully responsive (mobile, tablet, desktop)
- ✅ Touch gesture support
- 🔜 Timer and statistics
- 🔜 Hint system
- 🔜 Save and resume puzzles
- 🔜 Zoom and pan controls
- 🔜 Piece sorting and organization
- 🔜 Puzzle library
- 🔜 Social sharing
- 🔜 Multiplayer mode
- 🔜 Achievement system
- Vite + React 18+ + TypeScript
- Lightning-fast development (390ms startup)
- Instant HMR with esbuild
- Optimized production builds
- State Management: Zustand (~1KB, minimal boilerplate)
- Drag & Drop: @dnd-kit (native touch support, 10KB)
- Canvas Rendering: React Konva (game-optimized performance)
- Image Upload: react-dropzone (mobile camera support)
- Styling: Tailwind CSS (responsive utilities)
- Celebration: react-canvas-confetti (performant animations)
| Library | Alternatives Considered | Why Selected |
|---|---|---|
| Vite | Next.js, CRA | ⚡ Faster dev (390ms vs 4.5s), SPA-optimized |
| Zustand | Redux, Jotai | 🪶 Lightest (1KB), minimal boilerplate |
| @dnd-kit | react-dnd | 📱 Native touch support (critical!) |
| React Konva | Fabric.js | 🎮 Game-optimized, better performance |
- Single column layout
- Full-screen puzzle board
- Bottom sheet piece tray
- Optimized piece count (12-35 pieces)
- Touch gestures with haptic feedback
- Two-column layout
- Side panel for pieces
- Medium piece counts (48-80 pieces)
- Support for both orientations
- Multi-panel layout
- Keyboard shortcuts
- Large piece counts (120-300 pieces)
- Advanced controls
- Mobile-First: Optimize for touch, enhance for desktop
- Progressive Enhancement: Core functionality works everywhere
- Performance-Focused: Maintain 60fps during interactions
- Accessible: WCAG 2.1 AA compliant
- Delightful: Smooth animations and satisfying feedback
- Type Safety: Strict TypeScript throughout
- Component Isolation: Single responsibility principle
- Performance: Lazy loading, code splitting, memoization
- Testability: Unit, integration, and E2E tests
- Maintainability: Clear patterns, comprehensive docs
| Metric | Target | Strategy |
|---|---|---|
| First Contentful Paint | < 1.5s | Code splitting, lazy loading |
| Time to Interactive | < 3s | Optimized bundle, critical CSS |
| Drag Operation FPS | 60fps | Canvas optimization, layer caching |
| Puzzle Generation | < 3s | Web workers, progressive rendering |
| Bundle Size | < 200KB | Tree shaking, dynamic imports |
puzzle-game/
├── src/
│ ├── components/ # React components
│ │ ├── Upload/ # Image upload components
│ │ ├── Settings/ # Puzzle configuration
│ │ ├── Game/ # Gameplay components
│ │ ├── Completion/ # Celebration UI
│ │ └── shared/ # Reusable components
│ ├── hooks/ # Custom React hooks
│ ├── services/ # Business logic
│ │ ├── puzzleGenerator.ts
│ │ ├── imageProcessor.ts
│ │ └── soundManager.ts
│ ├── store/ # Zustand state management
│ ├── types/ # TypeScript definitions
│ ├── utils/ # Helper functions
│ ├── views/ # Route components
│ └── workers/ # Web workers
├── public/
│ └── sounds/ # Audio assets
└── docs/ # This documentation
- Node.js 18+
- pnpm (recommended) or npm
# Create project
pnpm create vite puzzle-game --template react-ts
cd puzzle-game
# Install dependencies
pnpm add zustand @dnd-kit/core @dnd-kit/utilities react-konva konva
pnpm add react-dropzone react-canvas-confetti react-router-dom
pnpm add -D tailwindcss postcss autoprefixer
pnpm dlx tailwindcss init -p
# Start development server
pnpm dev# Run development server (http://localhost:5173)
pnpm dev
# Run tests
pnpm test
# Run linter
pnpm lint
# Build optimized version
pnpm build
# Preview production build (http://localhost:4173)
pnpm previewFor self-hosting: Just run pnpm dev and open http://localhost:5173 in your browser. That's it!
| Phase | Duration | Focus |
|---|---|---|
| Phase 1 | 2 days | Project setup, infrastructure |
| Phase 2 | 3 days | Image upload & processing |
| Phase 3 | 5 days | Puzzle generation algorithm |
| Phase 4 | 7 days | Drag-and-drop gameplay |
| Phase 5 | 5 days | Polish & enhancements |
| Phase 6 | 6 days | Testing & deployment |
| Total | 28 days | Complete MVP |
- Puzzle generation logic
- Image processing utilities
- State management
- Helper functions
- Component interactions
- User flows
- State updates
- Event handling
- Complete puzzle solving flow
- Upload → Configure → Play → Complete
- Cross-browser testing
- Responsive layout testing
| Browser | Desktop | Mobile | Notes |
|---|---|---|---|
| Chrome | ✅ 90+ | ✅ 90+ | Full support |
| Firefox | ✅ 88+ | ✅ 88+ | Full support |
| Safari | ✅ 14+ | ✅ 14+ | Full support |
| Edge | ✅ 90+ | ✅ 90+ | Full support |
- Lighthouse score > 90
- Core Web Vitals: Good
- 60fps during dragging
- < 3s puzzle generation
- Zero critical errors
- Intuitive puzzle manipulation
- Clear visual feedback
- Responsive across devices
- Smooth animations
- Satisfying completion
This application is designed for localhost self-hosting with zero backend dependencies:
- ✅ Pure client-side: Everything runs in your browser
- ✅ No cloud services: No Vercel, Netlify, AWS, etc.
- ✅ localStorage only: All data stored locally
- ✅ Privacy-first: Images never leave your machine
- ✅ Offline capable: Works without internet
See SELF_HOSTING_SETUP.md for detailed setup instructions.
- Client-side only (no backend)
- No authentication required
- File validation before processing
- XSS prevention
- All processing happens locally
- Images never uploaded to any server
This is a planning repository. For implementation:
- Follow the architecture in ARCHITECTURE.md
- Implement features as outlined in IMPLEMENTATION_PLAN.md
- Adhere to responsive design guidelines in RESPONSIVE_DESIGN.md
- Reference TECH_STACK.md for technology decisions
This planning documentation is provided as-is for educational and development purposes.
- Jigsaw Puzzle Algorithm Design
- Touch Event Handling in React
- Canvas Performance Optimization
- Responsive Design Patterns
- ✅ Research and planning (Complete)
- 🔜 Initialize Vite project
- 🔜 Set up project structure
- 🔜 Implement image upload
- 🔜 Build puzzle generator
- 🔜 Create gameplay UI
- 🔜 Add drag-and-drop
- 🔜 Implement completion
- 🔜 Optimize and test
- 🔜 Deploy to production
For questions about implementation details:
- See specific documentation files linked above
- Review code examples in TECH_STACK.md
- Check implementation steps in IMPLEMENTATION_PLAN.md
Last Updated: November 2025 Status: Planning Complete, Ready for Implementation Estimated Completion: 6 weeks from start