Implements comprehensive demo system showing AI capabilities unlocked by each module export:
- 8 progressive demos from tensor math to language generation
- Complete tito demo CLI integration with capability matrix
- Real AI demonstrations including XOR solving, computer vision, attention mechanisms
- Educational explanations connecting implementations to production ML systems
Repository reorganization:
- demos/ directory with all demo files and comprehensive README
- docs/ organized by category (development, nbgrader, user guides)
- scripts/ for utility and testing scripts
- Clean root directory with only essential files
Students can now run 'tito demo' after each module export to see their framework's
growing intelligence through hands-on demonstrations.
- Remove unnecessary module_paths.txt file for cleaner architecture
- Update export command to discover modules dynamically from modules/source/
- Simplify nbdev command to support --all and module-specific exports
- Use single source of truth: nbdev settings.ini for module paths
- Clean up import structure in setup module for proper nbdev export
- Maintain clean separation between module discovery and export logic
This implements a proper software engineering approach with:
- Single source of truth (settings.ini)
- Dynamic discovery (no hardcoded paths)
- Clean CLI interface (tito package nbdev --export [--all|module])
- Robust error handling with helpful feedback
- Remove 5 outdated development guides that contradicted clean NBGrader/nbdev architecture
- Update all documentation to reflect assignments/ directory structure
- Remove references to deprecated #| hide approach and old command patterns
- Ensure clean separation: NBGrader for assignments, nbdev for package export
- Update README, Student Guide, and Instructor Guide with current workflows
✅ PYTHON-FIRST DEVELOPMENT:
- Always work in raw Python files (modules/XX/XX_dev.py)
- Generate Jupyter notebooks on demand using Jupytext
- NBGrader compliance through automated cell metadata
- nbdev for package building and exports
🔧 WORKFLOW IMPROVEMENTS:
- Fixed file priority: use XX_dev.py over XX_dev_enhanced.py
- Clean up enhanced files to use standard files as source of truth
- Updated documentation to highlight Python-first approach
📚 COMPLETE INSTRUCTOR WORKFLOW:
1. Edit modules/XX/XX_dev.py (Python source of truth)
2. Export to package: tito module export XX (nbdev)
3. Generate assignment: tito nbgrader generate XX (Python→Jupyter→NBGrader)
4. Release to students: tito nbgrader release XX
5. Auto-grade with pytest: tito nbgrader autograde XX
✅ VERIFIED WORKING:
- Python file editing ✅
- nbdev export to tinytorch package ✅
- Jupytext conversion to notebooks ✅
- NBGrader assignment generation ✅
- pytest integration for auto-grading ✅🎯 TOOLS INTEGRATION:
- Raw Python development (version control friendly)
- Jupytext (Python ↔ Jupyter conversion)
- nbdev (package building and exports)
- NBGrader (student assignments and auto-grading)
- pytest (testing within notebooks)
Perfect implementation of user's ideal workflow
- Create comprehensive INSTRUCTOR_GUIDE.md with verified modules, teaching sequence, and practical commands
- Create new STUDENT_GUIDE.md based on actual working state with correct module numbering
- Update main docs/README.md to reflect current capabilities and clean structure
- Remove outdated docs/students/project-guide.md that had incorrect information
- Focus on 6+ weeks of proven curriculum content currently ready for classroom use
- Base all documentation on verified test results and working module status
