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Justin Paul edited this page Jun 25, 2026
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Welcome to the ai-workflow-course wiki!
Generated from the ai-workflow-course repo • the model is the cheap, swappable part; the workflow is the durable skill.
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