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claude edited this page 2026-06-22 18:48:55 -04:00

Generated from the ai-workflow-course repo • the model is the cheap, swappable part; the workflow is the durable skill.

📖 Home

Unit 1: Get out of the chat window

• 1 · The Copy-Paste Problem
• 2 · Version Control as a Safety Net
• 3 · Version Control for Words, Not Just Code
• 4 · Getting the AI Out of the Browser
• 5 · Commit the AI's Config, Not Just the Code
• 6 · Branches as Sandboxes for Experiments
• 7 · Worktrees for Running Agents in Parallel

Unit 2: Make it shareable, reviewable, recoverable

• 8 · Remotes and Hosting (GitHub, the Alternatives, and Owning Your Repo)
• 9 · Issues and the Task Layer
• 10 · Reviewing Code You Didn't Write
• 11 · Collaboration: Humans and Agents on One Repo
• 12 · When It Goes Wrong: Revert, Reset, and Recovery

Unit 3: Automate the checking and shipping

• 13 · Testing in the AI Era
• 14 · Continuous Integration
• 15 · Security Scanning for AI-Generated Code
• 16 · Containers and Reproducible Environments
• 17 · Secrets, Config, and Environments
• 18 · Continuous Delivery and Deployment
• 19 · Runners, the Compute Behind the Automation

Unit 4: Extend the AI into your systems

• 20 · MCP Servers, Giving the AI Hands
• 21 · Skills: Teaching the AI Your Playbook
• 22 · Securing Third-Party MCP Servers and Skills
• 23 · Working with Existing Codebases

Unit 5: AI in the Loop

• 24 · Assistive Agents (AI Review and Issue Triage)
• 25 · Module 25. Autonomous Agents: Issue-to-PR and Self-Healing CI
• 26 · Orchestrating Multiple Agents
• 27 · Module 27. Evals: Trusting an Agent That Acts Without You

Finale

• Capstone: The Full Loop

Generated from the ai-workflow-course repo • the model is the cheap, swappable part; the workflow is the durable skill.