Contributing to Physical AI Toolchain
Guide for contributing including prerequisites, deployment validation, and style conventions
Repository Architecture
Current state analysis and target architecture for the Physical AI Toolchain, organized around physical AI lifecycle domains with Agent Skill specifications.
Physical AI Toolchain Roadmap
Project roadmap covering documentation, testing, CI/CD, governance, security, and OpenSSF compliance through Q1 2027.
Contribution Workflow
How to contribute including legal requirements, bug reports, enhancement suggestions, and documentation improvements
Pull Request Process
PR workflow, reviewer assignment, review cycles, approval criteria, and update process
Prerequisites and Build Validation
Required tools, Azure access, NGC credentials, and build validation commands for contributing
Infrastructure as Code Style Guide
Terraform conventions, shell script standards, and copyright headers for contributions
Deployment Validation Guide
Validation levels, testing templates, and cost optimization for contribution testing
Cost Considerations
Testing budgets, cost tracking, and optimization strategies for contribution validation
Security Review Process
Security checklist, credential handling, and vulnerability reporting for contributions
Documentation Maintenance Policy
Update triggers, ownership, review criteria, freshness policy, and release lifecycle for project documentation
Updating External Components
Process for identifying, updating, and vetting reused externally-maintained components
Fuzzing and Property-Based Testing
Running fuzz targets and property-based tests for Python and TypeScript code
Accessibility Best Practices
Standards for accessible documentation and CLI output in this project