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01 the copy paste problem
02 version control as a safety net
03 version control for words
04 getting the ai out of the browser
05 commit the ai config
06 branches sandboxes for experiments
07 worktrees running agents in parallel
08 remotes and hosting
09 issues and the task layer
10 reviewing code you didnt write
11 collaboration humans and agents
12 revert reset and recovery
13 testing in the ai era
14 continuous integration
15 security scanning
16 containers and reproducible environments
17 secrets config and environments
18 continuous delivery and deployment
19 runners the compute behind automation
20 mcp servers giving the ai hands
21 skills teaching the ai your playbook
22 securing third party mcp and skills
23 working with existing codebases
24 assistive agents
25 autonomous agents
26 orchestrating multiple agents
27 evals
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capstone
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claude edited this page 2026-06-23 03:25:36 +00:00
Table of Contents
📖 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
📖 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
Generated from the ai-workflow-course repo • the model is the cheap, swappable part; the workflow is the durable skill.