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The GitHub Copilot Handbook

You're reading from   The GitHub Copilot Handbook A practical guide to transforming the software development life cycle with GitHub Copilot

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Product type Paperback
Published in Nov 2025
Publisher Packt
ISBN-13 9781806116638
Length 290 pages
Edition 1st Edition
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Authors (2):
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Rob Bos Rob Bos
Author Profile Icon Rob Bos
Rob Bos
Randy Pagels Randy Pagels
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Randy Pagels
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Table of Contents (18) Chapters Close

Preface 1. What is GitHub Copilot?
2. GitHub Copilot Explained FREE CHAPTER 3. Getting Started with Generative AI 4. Choosing the Right GitHub Copilot Plan 5. Getting Started with GitHub Copilot
6. Mastering GitHub Copilot in Your IDE: Inline Suggestions, Chat, and Agent Mode 7. Going Beyond Code: Debugging, Terminal, and Collaboration with GitHub Copilot 8. Exploring GitHub Copilot Integrations
9. Collaborating with Copilot on GitHub.com: Issues, PRs, Reviews, and Coding Agent 10. Extending GitHub Copilot with the Model Context Protocol (MCP) 11. Getting the Most Out of GitHub Copilot
12. Navigating the GitHub Copilot Learning Curve 13. Building an Internal GitHub Copilot Community 14. Changing the Narrative: Reframing Engineering with AI 15. Unlock Your Exclusive Benefits 16. Other Books You May Enjoy
17. Index

Utilization of generative AI

To get the most benefit from generative AI, you need to let go of existing reasoning that might hold you back and open your mind to the possibilities. Generative AI is used in all types of work. The main way to use generative AI to start to work is by asking it a question/prompt, which is normally presented to it as text. There are tools that translate images or audio into text, and that will be the prompt for the generative AI models to start working with. The prompt is the starting point, and the model has been instructed to complete the prompt by generating the next predicted text.

General uses of AI

The use cases we see generative AI being applied to range from office work, such as generating code, emails, presentations, or reports, to creating new images based on an input prompt, and even audio and video. But we are learning about new types of applications all the time. LLMs have a common understanding of languages, so we can use them to summarize...

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