arc-protocol

ARC Protocol automates AI-assisted development workflows with persistent context. Operations teams use it to analyze, run, and confirm project execution. It integrates with Python-based tools and Claude agents.

1. **Initialize the Protocol**: Run `arc-protocol init --project payment-gateway --env staging` in your terminal to set up persistent context for the repository and environment. 2. **Define Scope**: Use `arc-protocol analyze --issues race-condition,performance,validation` to specify the types of issues to monitor during execution. 3. **Execute Workflow**: Trigger the automated suite with `arc-protocol run --suite regression --coverage 95` to ensure comprehensive testing. The protocol will handle test execution, environment setup, and result collection automatically. 4. **Review and Act**: Use `arc-protocol report --format markdown --output ./reports` to generate a human-readable report. Prioritize fixes based on the severity ratings and estimated effort provided. 5. **Integrate with Tools**: Connect ARC Protocol to your CI/CD pipeline by adding a step in your GitHub Actions workflow: `- name: Run ARC Protocol run: arc-protocol run --suite full --env production` Tip: For best results, ensure your Python environment is pre-configured with all dependencies (use `pip install -r requirements.txt`) before initializing ARC Protocol. The protocol works best with projects using pytest or unittest frameworks.