AI Agent Safety: Version Control with Git and GitHub
R3 · VALIDATE12 minThis course will teach you how to use Git and GitHub as an indispensable safety system for managing the large, fast, multi-file changes made by AI coding agents. You will learn to implement critical mechanisms for verification, containment, and review to prevent agent-introduced risks from becoming failures.
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Syllabus
1. What Git and GitHub are (for the non-developer in the room)
- Git: The Core Version Control Engine
- GitHub: Collaboration and Automation in the Cloud
- Module 1 Summary and Quiz
2. Why versioning is a *safety system* for AI agents
- AI Agent Risks and Git's Safety Guarantees
- Applying the Safe Agent Workflow
- Validating Agent Changes with Diff Review
- Module 2 Summary and Quiz
3. CI/CD: turning tests into an automatic gate
- Understanding CI/CD Fundamentals
- CI/CD as an AI Safety Net
- Validating CI/CD Configuration and Agent Response
- Module 3 Summary and Quiz
4. Integrate GitHub into Claude Code
- Claude Code's Direct Git Interaction
- Advanced GitHub Integration with Claude Code
- Validating Claude Code's GitHub Workflow
- Module 4 Summary and Quiz
5. Integrate GitHub into Codex
- Codex's Git-Centric Workflow
- Codex Plugins and Conventions
- Validating Codex's Output and Process
- Module 5 Summary and Quiz
6. Exercise: let an agent loose safely
- Setting Up the Safe Environment
- Agent Task Execution and Review
- Deliberate Failure and Blocked Merge
- Module 6 Summary and Quiz