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- Fix NBGrader configuration to use proper assignments/ directory structure - Update NBGrader commands to work with TinyTorch modules in modules/source/ - Initialize complete NBGrader workflow: generate -> release -> collect -> autograde - Add virtual environment setup with all required dependencies (numpy, matplotlib, pytest, nbgrader, rich, networkx) - Integrate comprehensive status checking into tito CLI hierarchy (tito/core/status_analyzer.py) - Remove standalone status scripts - everything now unified under tito commands - Provide end-to-end tested workflow for educational assignment management Tested functionality: - tito module status --comprehensive (full system health dashboard) - tito nbgrader init/generate/release/status (complete assignment workflow) - Virtual environment with proper dependency management - Professional CLI architecture with no standalone scripts