Major changes:
- Moved TinyGPT from Module 16 to examples/tinygpt (capstone demo)
- Fixed Module 10 (optimizers) and Module 11 (training) bugs
- All 16 modules now passing tests (100% health)
- Added comprehensive testing with 'tito test --comprehensive'
- Renamed example files for clarity (train_xor_network.py, etc.)
- Created working TinyGPT example structure
- Updated documentation to reflect 15 core modules + examples
- Added KISS principle and testing framework documentation
- Corrected module dependencies based on actual YAML files
- Fixed diagram to show accurate prerequisite relationships:
- Tensor directly enables both Activations and Autograd
- DataLoader depends directly on Tensor (not through Spatial)
- Training depends on Dense, Spatial, Attention, Optimizers, and DataLoader
- TinyGPT depends on Attention, Optimizers, and Training
- Added sphinxcontrib-mermaid to requirements for diagram rendering
- Updated both intro.md and README.md with corrected diagrams
- Ensured mermaid extension is configured in _config.yml
- Tighten line spacing from 1.8 to 1.6 for better readability
- Reduce header margins for more compact appearance
- Add educational links (Binder, Colab) with proper URLs
- Fix time duplication in badges (use difficulty stars instead)
- Simplify setup module content for better clarity
- Improve content hierarchy with proper nesting
- Professional ML Engineering Skills section now properly organizes steps
- Consistent badge formatting across all modules
- More compact and professional appearance overall
- Replace Source Sans/Serif Pro with Inter for better screen readability
- Add JetBrains Mono for superior code display
- Increase body font size from 16px to 17px for better readability
- Optimize line height to 1.8 for comfortable reading
- Add proper font weights and letter spacing hierarchy
- Improve color contrast for accessibility
- Add CSS custom properties for maintainable design tokens
- Enhanced focus states and text selection
- Professional academic typography matching top educational platforms
- Remove excessive emojis while maintaining strategic usage
- Update CSS with academic typography (Source Sans Pro, Source Serif Pro)
- Professional color scheme with academic blues (#2c3e50, #3498db)
- Clean navigation without emoji decorations
- Enhanced visual hierarchy with professional spacing
- University-level styling consistent with Harvard standards
- Maintained pedagogical effectiveness and engagement
- Improved readability with clean, accessible design
- Professional tone throughout all content
- Academic credibility without sacrificing approachability
Major changes:
- Renamed entire system from "milestone" to "checkpoint" for academic framing
- Checkpoints are now positioned as academic progress markers in learning journey
- Implemented enhanced Rich CLI timeline with progress bars and connecting lines
- Added overall progress tracking (16/16 modules = 100%)
Enhanced timeline visualization:
- Horizontal view shows progress bar with filled/unfilled segments
- Visual connecting lines between checkpoints showing completion status
- Color-coded progress: green (complete), yellow (in-progress), dim (future)
- Percentage indicators for each checkpoint and overall progress
CLI improvements:
- `tito checkpoint status` - Shows overall and per-checkpoint progress
- `tito checkpoint timeline --horizontal` - Rich visual progress line
- `tito checkpoint timeline` - Vertical tree view with module details
- Better progress indicators with filled bars and connecting lines
Documentation updates:
- Renamed milestone-system.md to checkpoint-system.md
- Updated all references from milestone to checkpoint terminology
- Emphasized academic checkpoint philosophy and progress markers
- Added descriptions of new Rich CLI visualizations
Benefits:
- More academic framing aligns with educational context
- Visual progress bars provide immediate feedback on learning journey
- Checkpoint terminology is more familiar to students
- Rich CLI visualizations make progress tracking engaging
- Regenerated all chapters with YAML-based difficulty ratings
- Updated book with improved navigation and fixed appendix links
- Applied copyright year 2025 across all pages
- Integrated inclusive language changes throughout generated content
- Book now reflects all UX and consistency improvements
- Updated book generation to include 15_capstone with 5-star difficulty rating
- Changed time estimate from '20-40 hours' to 'Capstone Project' for better visitor experience
- Removed specific week references from project phases for more encouraging presentation
- Maintained detailed project structure while making timeline more flexible
- Ensures consistent 5-star rating for expert-level modules across the framework
Changed main tagline from:
'Most ML education teaches you to use frameworks. TinyTorch teaches you to understand them.'
To:
'Most ML education teaches you to use frameworks. TinyTorch teaches you to build them.'
Rationale:
- 'Understand' is vague and passive
- 'Build' is concrete and action-oriented
- Aligns perfectly with engineering focus we just established
- Reinforces the hands-on, construction-based learning approach
- More compelling for engineering-minded learners
Updated in both README.md and book/intro.md for consistency.
Problem: Grid cards were showing raw HTML code instead of rendering properly
Root cause: README converter was adding new grid cards while preserving
original ones, creating duplicate/conflicting grid sections
Solution:
- Modified book/convert_readmes.py to remove existing grid cards from
source READMEs before adding new interactive elements
- Added regex patterns to clean up grid-related markup
- Regenerated all 14 book chapters with fixed converter
- Grid cards now render properly as interactive buttons
Result: All chapters now have clean, properly formatted grid cards
that render correctly in Jupyter Book
- Updated all module references to start from 01 instead of 00
- Changed tagline to 'Build your own ML framework. Start small. Go deep.'
- Added educational foundation section linking to ML Systems book
- Updated README, documentation, CLI examples, and prerequisites
- Regenerated book content with consistent numbering throughout
- Maintains 14 modules total but with natural numbering (01-14)
✅ Rename all module directories: 00_setup → 01_setup, etc.
✅ Update convert_modules.py mappings for new directory names
✅ Update _toc.yml file paths and titles (1-14 instead of 0-13)
✅ Regenerate all overview pages with new numbering
✅ Fix all broken references in usage-paths and intro
✅ Update chapter references to use natural numbering
Benefits:
- More intuitive course progression starting from 1
- Matches academic course numbering conventions
- Eliminates confusion about 'Module 0' concept
- Cleaner mental model for students and instructors
- All references and links properly updated
Complete transformation: 14 modules now numbered 01-14
✅ Remove unnecessary nesting: book/tinytorch-course/ → book/
✅ Update all path references in scripts and workflows
✅ Cleaner development experience with shorter paths
✅ Book builds successfully with simplified structure
Changes:
- Move all book files up one directory level
- Update convert_modules.py paths
- Update GitHub Actions workflow paths
- Update book configuration paths
- Test confirms everything works correctly
