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PART 3 · COMPUTERS, CLI & DEVELOPMENT ENVIRONMENTS
PART 3
COMPUTERS, CLI & DEVELOPMENT ENVIRONMENTS
2 classes. Each class holds its own standalone lessons.
PART 3 CLASSES
CLASSES, THEN LESSONS.
CLASS 5The AI Workspace: Computer, Terminal, Git, and Cloud
Your Computer Is the AI Workspace
Understand the project folder, editor, terminal, browser, agent, Git, and GitHub as one system for building with AI.
READ LESSON →September 9, 2026 · CLASS 5AI in the Terminal Is More Powerful Than the GUI
A beginner-friendly guide to CLIs, Codex, Claude Code, Cursor, Antigravity, OpenRouter, and the new ways AI can work with your real projects.
READ LESSON →September 11, 2026 · CLASS 5How an AI Finds and Understands a Project
Give an AI a project root, instructions, context, branches, and a clear path to safe work.
READ LESSON →September 11, 2026 · CLASS 5Your Local Machine vs the Cloud
Know where your project runs, where secrets belong, and how GitHub connects local work to a live product.
READ LESSON →September 11, 2026 · CLASS 5From Project Folder to Live Product
The complete loop: Markdown brief, branch, AI build, local review, Git, GitHub, deployment, and handoff.
READ LESSON →CLASS 6Operating the CLI With AI
Your First AI CLI Session
Start an AI agent safely in a real project: orient first, approve a plan, make one focused change, and verify it.
READ LESSON →September 11, 2026 · CLASS 6The Terminal Commands You Actually Need
Learn the small command vocabulary that helps you understand where you are, what is running, and what an AI is changing.
READ LESSON →September 11, 2026 · CLASS 6Run an App Locally: Processes, Ports, Logs, and Errors
Understand the local server, localhost, ports, process logs, and the evidence an AI needs to diagnose a problem.
READ LESSON →September 11, 2026 · CLASS 6Package Managers: Installing the Tools a Project Needs
Separate computer-wide tools from project dependencies and learn how to approve an AI-proposed install intelligently.
READ LESSON →September 11, 2026 · CLASS 6The AI Development Workbench: Editor, Terminal, Browser, and Agent
Use VS Code, terminal, browser, and an AI agent as one visible, testable workbench.
READ LESSON →September 11, 2026 · CLASS 6One CLI, Many Models
Understand the difference between a CLI harness and a model, then choose deliberately for task, context, cost, and reliability.
READ LESSON →September 11, 2026 · CLASS 6Git, GitHub, and Branches: Safe Parallel AI Work
Understand Git, GitHub, commits, branches, pull requests, merges, and the boundaries that make parallel AI work safe.
READ LESSON →September 11, 2026 · CLASS 6Orchestrating AI: Many Tabs, Many Tasks, One Clear System
Move beyond one GUI chat and direct focused AI work across terminals, tests, research, branches, and handoffs.
READ LESSON →September 11, 2026 · CLASS 6Your First Useful CLI Projects—and the Safety Rules That Matter
Start with a small useful project and learn the safety habits that keep AI work reversible, understandable, and affordable.
READ LESSON →PRACTICAL APPENDIX