- Add architecture, CI/CD, CLI reference documentation
- Update installation, operations, and quick-start guides
- Add Jupyter workflow and queue documentation
- New landing page and research runner plan
- Move ci-test.sh and setup.sh to scripts/
- Trim docs/src/zig-cli.md to current structure
- Replace hardcoded secrets with placeholders in configs
- Update .gitignore to block .env*, secrets/, keys, build artifacts
- Slim README.md to reflect current CLI/TUI split
- Add cleanup trap to ci-test.sh
- Ensure no secrets are committed
- Remove 14 duplicate README files from test fixtures
- Clean up and restructure docs/src/testing.md with comprehensive testing guide
- Update main README.md to highlight testing and reference docs/ structure
- Remove empty .new files
- Keep only valuable, directory-specific README files (reduced from 34 to 20)
- Add comprehensive README with architecture overview and quick start guide
- Set up Go module with production-ready dependencies
- Configure build system with Makefile for development and production builds
- Add Docker Compose for local development environment
- Include project configuration files (linting, Python, etc.)
This establishes the foundation for a production-ready ML experiment platform
with task queuing, monitoring, and modern CLI/API interface.
