GitHub Copilot CLI for Beginners
β¨ Learn to supercharge your development workflow with AI-powered command-line assistance.
GitHub Copilot CLI brings AI assistance directly to your terminal. Instead of switching to a browser or code editor, you can ask questions, generate full-featured applications, review code, generate tests, and debug issues without leaving your command line.
Think of it as having a knowledgeable colleague available 24/7 who can read your code, explain confusing patterns, and help you work faster!
This course is designed for:
- Software Developers who want to use AI from the command line
- Terminal users who prefer keyboard-driven workflows over IDE integrations
- Teams looking to standardize AI-assisted code review and development practices
π― What Youβll Learn
This hands-on course takes you from zero to productive with GitHub Copilot CLI. Youβll work with a single Python book collection app throughout all chapters, progressively improving it using AI-assisted workflows. By the end, youβll confidently use AI to review code, generate tests, debug issues, and automate workflows: all from your terminal.
No AI experience required. If you can use a terminal, you can learn this.
Perfect for: Developers, students, and anyone who has experience with software development.
β Prerequisites
Before starting, ensure you have:
- GitHub account: Create one free
- GitHub Copilot access: Free offering, Monthly subscription, or Free for students/teachers
- Terminal basics: Comfortable with
cd,ls, running commands
π€ Understanding the GitHub Copilot Family
GitHub Copilot has evolved into a family of AI-powered tools. Hereβs where each one lives:
| Product | Where It Runs | Description |
|---|---|---|
| GitHub Copilot CLI (this course) | Your terminal | Terminal-native AI coding assistant |
| GitHub Copilot | VS Code, Visual Studio, JetBrains, etc. | Agent mode, chat, inline suggestions |
| Copilot on GitHub.com | GitHub | Immersive chat about your repos, create agents, and more |
| GitHub Copilot coding agent | GitHub | Assign issues to agents, get PRs back |
This course focuses on GitHub Copilot CLI, bringing AI assistance directly to your terminal.
π Course Structure
| Chapter | Title | What Youβll Build |
|---|---|---|
| 00 | π Quick Start | Installation and verification |
| 01 | π First Steps | Live demos + three interaction modes |
| 02 | π Context and Conversations | Multi-file project analysis |
| 03 | β‘ Development Workflows | Code review, debug, test generation |
| 04 | π€ Create Specialized AI Assistants | Custom agents for your workflow |
| 05 | π οΈ Automate Repetitive Tasks | Skills that load automatically |
| 06 | π Connect to GitHub, Databases & APIs | MCP server integration |
| 07 | π― Putting It All Together | Complete feature workflows |
π How This Course Works
Each chapter follows the same pattern:
- Real-World Analogy: Understand the concept through familiar comparisons
- Core Concepts: Learn the essential knowledge
- Hands-On Examples: Run actual commands and see results
- Assignment: Practice what you learned
- Whatβs Next: Preview of the following chapter
Code examples are runnable. Every copilot text block in this course can be copied and run in your terminal.
π GitHub Copilot CLI Command Reference
The GitHub Copilot CLI command reference helps you find commands and keyboard shortcuts to help you use Copilot CLI effectively.
π Getting Help
- π Found a bug? Open an Issue
- π€ Want to contribute? PRs welcome!
- π Official Docs: GitHub Copilot CLI Documentation
License
This project is licensed under the terms of the MIT open source license. Please refer to the LICENSE file for the full terms.