- Add jupyter.zig command with start/stop/status actions
- Update main.zig to include jupyter command in CLI
- CLI now handles all Jupyter setup transparently
- Data scientists only need: ml jupyter start
- Auto-detects container runtime (Podman/Docker)
- Manages container lifecycle automatically
- Provides clear status and error messages
- Add modern CLI interface built with Zig for performance
- Include TUI (Terminal User Interface) with bubbletea-like features
- Implement ML experiment commands (run, status, manage)
- Add configuration management and validation
- Include shell completion scripts for bash and zsh
- Add comprehensive CLI testing framework
- Support for multiple ML frameworks and project types
CLI provides fast, efficient interface for ML experiment management
with modern terminal UI and comprehensive feature set.
