- Applied Black formatter and isort across entire codebase for professional consistency
- Moved implementation scripts (rag-mini.py, rag-tui.py) to bin/ directory for cleaner root
- Updated shell scripts to reference new bin/ locations maintaining user compatibility
- Added comprehensive linting configuration (.flake8, pyproject.toml) with dedicated .venv-linting
- Removed development artifacts (commit_message.txt, GET_STARTED.md duplicate) from root
- Consolidated documentation and fixed script references across all guides
- Relocated test_fixes.py to proper tests/ directory
- Enhanced project structure following Python packaging standards
All user commands work identically while improving code organization and beginner accessibility.
Major enhancements:
• Add comprehensive deployment guide covering all platforms (mobile, edge, cloud)
• Implement system context collection for enhanced AI responses
• Update documentation with current workflows and deployment scenarios
• Fix Windows compatibility bugs in file locking system
• Enhanced diagrams with system context integration flow
• Improved exploration mode with better context handling
Platform support expanded:
• Full macOS compatibility verified
• Raspberry Pi deployment with ARM64 optimizations
• Android deployment via Termux with configuration examples
• Edge device deployment strategies and performance guidelines
• Docker containerization for universal deployment
Technical improvements:
• System context module provides OS/environment awareness to AI
• Context-aware prompts improve response relevance
• Enhanced error handling and graceful fallbacks
• Better integration between synthesis and exploration modes
Documentation updates:
• Complete deployment guide with troubleshooting
• Updated getting started guide with current installation flows
• Enhanced visual diagrams showing system architecture
• Platform-specific configuration examples
Ready for extended deployment testing and user feedback.
