Mastering Git and GitHub for AI Code Safety
R3 · VALIDATE14 minThis course teaches you how to leverage Git and GitHub as a critical safety system for managing AI coding agent outputs. You will master a tool-agnostic workflow to verify, contain, and review agent-generated code, ensuring safe and effective development practices.
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Syllabus
1. What Git and GitHub are (for the non-developer in the room)
- Introduction to Version Control and Git
- GitHub: Collaboration and Automation
- Module 1 Summary and Quiz
2. Why versioning is a safety system for AI agents
- AI Agents and the Need for Versioning as Safety
- Core Safety Guarantees for AI-Driven Development
- The Agentic Development Mantra
- Module 2 Summary and Quiz
3. CI/CD: turning tests into an automatic gate
- Understanding Continuous Integration and Delivery
- CI/CD as the AI Code Safety Net
- Validating CI/CD Configurations for Agent Safety
- Module 3 Summary and Quiz
4. The agent-agnostic Git loop
- Agent Git Integration Layers
- Applying the Everyday Git Loop
- Validating Agent Git Workflow Adherence
- Module 4 Summary and Quiz
5. Isolation and parallel work
- The Importance of Isolating Task Changes
- Techniques for Isolation and Parallel Work
- Validating Agent Isolation Practices
- Module 5 Summary and Quiz
6. Exercise: let an agent loose safely
- The Safe Agent Release Workflow
- Validating a Safe Agent Workflow Execution
- Module 6 Summary and Quiz