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July 12, 2025, 11:29 a.m.
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(Last updated: July 12, 2025, 11:30 a.m.)
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| ['Laster B. Learning GitHub Copilot. Multiplying Your Coding Productivity...2025.pdf'] | 0 bytes |
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NOTE
SOURCE: Laster B. Learning GitHub Copilot. Multiplying Your Coding Productivity...2025
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COVER
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MEDIAINFO
Textbook in PDF format Harness the power of Generative AI in your coding with GitHub Copilot. In this practical guide, author Brent Laster explains what Copilot is, how it works, and what it can do for you. You'll learn how to leverage AI to automate and simplify development, testing, documentation, and more. Software professionals in all roles will find the information needed to supercharge your productivity. "Learning GitHub Copilot" shows DevOps engineers, software developers, and database administrators how to make the most of the tool's code completion and generation capabilities. You'll understand how to take advantage of the tool's chat interface to get rich, detailed responses. Suitable for all skill levels—no matter what coding language or framework you use—Learning GitHub Copilot provides the knowledge you need to fully utilize Copilot. Learn how GitHub Copilot leverages GenAI and what it can do Understand when and how to use Copilot’s separate inline and chat interfaces Explore ways to use Copilot for creating, testing, documenting, explaining, and fixing code Learn how to use Copilot for testing frameworks, SQL generation, and Kubernetes manifests Understand how Copilot integrates with IDEs and GitHub Discover the key strategies, tips, and tricks to make the most of Copilot’s capabilities Intended Audience This book is for anyone who is trying to learn more about using AI assistants for developing software. Yes, it’s specifically about GitHub Copilot, but many of the examples and flows have parallels in other AI coding tools and environments. To get the most out of this book, you should already have experience coding in an IDE and have a basic knowledge of GitHub. To be clear, this book is not going to teach you how to code, how to use an IDE, or how to use GitHub. But it will help you multiply your productivity in all of those areas through using Copilot. Whether you are a software developer, quality engineer, SRE, or someone who is just looking to understand how an AI assistant like Copilot can benefit them, I believe you’ll find meaningful information and insights. Here are some audiences that I had in mind while writing the book and that I think can benefit from it • Those who are new (or newish) to AI coding assistants and looking to understand what they are all about and how to best make use of them • Those who already understand the concepts and flow of using AI coding assistants and want to understand what GitHub Copilot has to offer • Those who want to understand and evaluate GitHub Copilot as a possible tool to use on a wider scale in their organization or business • Those who already have some experience with GitHub Copilot and want to take full advantage of its features and functionality • Those who are looking to understand how to compensate for some of GitHub Copilot’s shortcomings • Those who want to understand the new features of Copilot, such as Agent mode • Those who want to create their own GitHub Copilot extensions • Those who work with GitHub and want to take advantage of the Copilot integration there Chapters 1, 2, and 3 guide you through the foundations you need to understand what Copilot is and how to interact with it in its two main modes—code completion and the chat (conversational) interface. Chapter 4 explores advanced ways of interacting with Copilot to do more autonomous editing as well as using Agent mode to drive changes from prompt to finish automatically. This chapter also explores the unique interface of Copilot Vision as well as debugging with Copilot. Chapters 5 and 6 show you how you can leverage Copilot to create rich sets of tests and multiple kinds of documentation to simplify those tasks and give you more time to focus on other coding tasks. Chapter 7 focuses on how you can improve the timeliness and relevance of results from Copilot. Chapter 8 explores how you can use Copilot to handle a number of less common but useful tasks. Chapter 9 explores Copilot’s chat interface in GitHub and how Copilot can help you understand more about your projects and simplify working with GitHub Issues and pull requests. Finally, Chapter 10 provides information on enhancing Copilot’s functionality through the integration of GitHub Extensions and shows how to build your own
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