AutoRip2MKV-Mac aims to be the most comprehensive, user-friendly, and technically advanced DVD/Blu-ray ripping solution for macOS. This roadmap outlines planned features, enhancements, and long-term goals for the project.
- ✅ Core DVD/Blu-ray Ripping: Production-ready decryption with libdvdcss & libaacs
- ✅ Advanced Settings System: Comprehensive configuration options
- ✅ Queue-based Processing: Efficient batch operations
- ✅ Professional UI: Native macOS interface with extensive customization
- ✅ Bundled FFmpeg: Self-contained binary eliminates downloads
- ✅ Open-Source Decryption: Integrated libdvdcss (DVD) and libaacs (Blu-ray)
- ✅ AI-Generated Codebase: 11,617 lines of 100% AI-written Swift code
- ✅ Production Ready: No placeholder/scaffolding code remaining
- ✅ libdvdcss Integration: Working DVD CSS decryption
- ✅ libaacs Integration: Working Blu-ray AACS decryption
- ✅ Swift ↔ C Bindings: @_silgen_name function declarations
- ✅ Library Detection: Automatic Homebrew path resolution
- ✅ Bundling Script: Standalone app distribution support
- ✅ Documentation: Complete integration and usage guides
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Enhanced UHD Blu-ray Detection
- Improved 4K content identification algorithms
- Advanced resolution markers parsing
- UHD-specific metadata extraction
- Optimized encoding settings for 4K content
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Ultra HD DVD Support (Rare Format)
- Detection algorithms for HD DVD format
- Enhanced resolution marker recognition
- Specialized processing for high-definition DVD content
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Advanced Disc Analysis
- Automatic quality assessment
- Content complexity analysis
- Optimal encoding recommendations
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AV1 Encoding Optimization
- Hardware-accelerated AV1 encoding
- Advanced AV1 quality presets
- Streaming-optimized AV1 configurations
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VP9 Enhancements
- Improved VP9 compression settings
- Better compatibility profiles
- Enhanced streaming configurations
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Smart Queue Management
- Priority-based processing
- Automatic resource allocation
- Concurrent multi-disc processing
- Progress prediction algorithms
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Advanced Automation Features
- Auto-detection of inserted discs
- Intelligent title selection
- Automatic quality optimization
- Unattended batch processing
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Extended Script Support
- Python script integration
- Ruby script support
- JavaScript automation
- Custom workflow builders
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Network Integration
- Automatic upload to cloud storage
- Network-attached storage (NAS) support
- Remote processing capabilities
- Distributed encoding clusters
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Professional Quality Settings
- Custom CRF curves
- Advanced bitrate targeting
- Multi-pass encoding optimization
- HDR content processing
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Hardware Acceleration Expansion
- Apple Silicon optimization
- Metal Performance Shaders integration
- GPU-accelerated filtering
- Neural network upscaling
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Comprehensive Metadata Support
- Automatic TMDB/IMDB lookup
- Custom metadata editing
- Artwork embedding
- Chapter naming automation
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Media Library Integration
- Plex Media Server optimization
- Jellyfin compatibility
- Emby integration
- Kodi/XBMC support
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Direct Library Integration
- Swift bindings for FFmpeg C libraries
- Memory-mapped processing for large files
- Eliminating external process overhead
- Custom codec selection and optimization
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FFmpeg Framework Development
- Modular FFmpeg Swift framework
- Selective codec inclusion to reduce bundle size
- Hardware acceleration through Metal
- Real-time encoding progress and controls
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Command-Line Interface (CLI)
- Headless operation support
- Scriptable automation
- Server deployment capabilities
- CI/CD integration
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API Development
- RESTful API for remote control
- WebSocket real-time updates
- Third-party integration support
- Microservices architecture
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Smart Content Classification
- AI-powered genre detection
- Automatic content tagging
- Duplicate content identification
- Collection management
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Database Integration
- SQLite local database
- PostgreSQL enterprise support
- Content indexing
- Advanced search capabilities
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Memory Management
- Reduced memory footprint
- Better garbage collection
- Streaming processing for large files
- Memory-mapped file operations
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Multi-threading Enhancements
- Improved concurrent processing
- Background task optimization
- Thread pool management
- Async/await implementation
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Robust Error Recovery
- Automatic retry mechanisms
- Graceful degradation
- Detailed error reporting
- Recovery suggestions
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Data Integrity
- Checksum verification
- Corruption detection
- Automatic repair attempts
- Backup and restore features
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Enhanced Test Coverage
- Fix disabled test cases
- Integration test expansion
- Performance benchmarking
- Stress testing automation
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Continuous Integration
- Automated testing pipelines
- Quality gate enforcement
- Performance regression detection
- Security vulnerability scanning
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Modern UI Updates
- SwiftUI migration consideration
- Dark mode optimizations
- Accessibility improvements
- Responsive design enhancements
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Customization Options
- Theme support
- Layout preferences
- Keyboard shortcuts
- Gesture controls
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Enhanced Documentation
- Interactive tutorials
- Video guides
- Troubleshooting wizard
- Context-sensitive help
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Smart Recommendations
- Optimal settings suggestions
- Quality recommendations
- Performance tips
- Best practice guidance
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Linux Support Evaluation
- GTK+ interface development
- Package manager integration
- Distribution compatibility
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Windows Support Research
- .NET Core migration assessment
- WPF interface development
- Windows-specific optimizations
- Cloud Processing
- Remote encoding services
- Distributed processing
- Cloud storage integration
- Collaborative workflows
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Advanced Code Generation
- Complex algorithm implementation
- Performance optimization
- Architecture improvements
- Feature enhancement automation
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AI-Assisted Maintenance
- Automated bug detection
- Code quality improvements
- Documentation generation
- Test case creation
- Academic Collaboration
- AI development methodology research
- Code generation effectiveness studies
- Human-AI collaboration patterns
- Software engineering education
- v1.3.0: Enhanced 4K support and codec improvements
- v1.3.1: Bug fixes and performance optimizations
- v1.3.2: Additional encoding options and presets
- v1.4.0: Advanced workflow automation
- v1.4.1: Network integration features
- v1.4.2: Enhanced batch processing
- v1.5.0: Professional features and metadata management
- v1.6.0: Enterprise tools and API development
- v2.0.0: Major architecture update with cross-platform consideration
- Performance: 50% faster encoding with hardware acceleration
- Quality: 99.9% success rate for disc processing
- Compatibility: Support for 100% of standard DVD/Blu-ray formats
- Efficiency: 90% reduction in manual configuration needs
- Ease of Use: One-click processing for 95% of use cases
- Reliability: Zero crashes during normal operation
- Documentation: Complete coverage of all features
- Support: Community-driven help and troubleshooting
- Code Quality: Maintain 100% AI-generated codebase
- Test Coverage: 95%+ automated test coverage
- Performance: Sub-second response for all UI interactions
- Scalability: Support for enterprise-level deployments
- Feature Requests: Community-driven feature prioritization
- Beta Testing: Early access program for new features
- Documentation: User guide improvements and translations
- Bug Reports: Detailed issue reporting and reproduction
- Open Source: All code remains open and inspectable
- AI Transparency: Document AI development process
- Community Feedback: Regular roadmap updates based on user input
- Collaborative Design: Feature design with community input
- Technical Innovation: Pioneer AI-generated application development
- User Experience: Set new standards for media processing applications
- Open Source: Demonstrate enterprise-quality open-source development
- Education: Provide learning resources for AI-assisted development
- Media Servers: Seamless integration with all major media servers
- Cloud Platforms: Native support for major cloud providers
- Professional Workflows: Integration with professional video editing suites
- Enterprise Tools: Support for large-scale media digitization projects
This roadmap is a living document that will be updated regularly based on:
- Community feedback and feature requests
- Technical feasibility assessments
- Market requirements and trends
- AI development capabilities evolution
- v1.0 (July 2025): Initial roadmap creation
- Next Update: September 2025 (quarterly updates planned)
We welcome community input on this roadmap:
- GitHub Issues: Feature requests and suggestions
- Discussions: Community roadmap discussions
- Email: Direct feedback to the development team
- Social Media: Follow project updates and announcements
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This roadmap, like the entire project, represents the future of AI-assisted software development
Last Updated: July 2025
Next Review: September 2025
Version: 1.0