Eight lessons in making your terminal an AI pair programmer

What it does

This repository is an official GitHub course—not a standalone tool—that teaches developers to use the GitHub Copilot CLI from first steps through advanced workflows. It follows a single Python book-collection application across eight chapters, progressively adding AI-assisted code review, debugging, test generation, and custom agent creation. The material works as an interactive terminal curriculum or as a static reference.

The interesting bit

Instead of disjointed snippets, every lesson anchors to the same evolving application. That turns abstract CLI capabilities—like multi-file context analysis or MCP server integration—into concrete habits rather than one-off demos.

Key highlights

• Eight chapters covering setup, context conversations, development workflows, custom agents, reusable skills, and MCP server integration.
• Each chapter uses a fixed pedagogical structure: real-world analogy, core concept, hands-on example, assignment, and preview.
• All copilot text blocks are meant to be copied and run directly in a terminal.
• Explicitly aimed at terminal-native developers and teams standardizing AI-assisted practices.
• No prior AI experience is required; only basic terminal literacy is assumed.

Caveats

• The sample code is frozen to ensure consistent AI-generated output during reviews and explanations, so pull requests that modify existing course code are not accepted.
• An active GitHub Copilot subscription—or an eligible free/student plan—is required to complete the hands-on portions.

Verdict

A sensible starting point if you live in a shell and want AI assistance to stay there. Largely irrelevant if you have already integrated Copilot into your IDE workflow and see no reason to change.