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portada GitHub Copilot Development Playbook: A Practical Guide to AI-Assisted Coding, Code Generation, Debugging, Testing, Refactoring, and Developer Workflows (GitHub Copilot AI Development Series) (en Inglés)
Formato
Libro Físico
Idioma
Inglés
N° páginas
175
Encuadernación
Tapa Blanda
ISBN13
9798175267458

GitHub Copilot Development Playbook: A Practical Guide to AI-Assisted Coding, Code Generation, Debugging, Testing, Refactoring, and Developer Workflows (GitHub Copilot AI Development Series) (en Inglés)

Marsh, Alvin (Autor) · Independently published · Tapa Blanda

GitHub Copilot Development Playbook: A Practical Guide to AI-Assisted Coding, Code Generation, Debugging, Testing, Refactoring, and Developer Workflows (GitHub Copilot AI Development Series) (en Inglés) - Marsh, Alvin

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Reseña del libro "GitHub Copilot Development Playbook: A Practical Guide to AI-Assisted Coding, Code Generation, Debugging, Testing, Refactoring, and Developer Workflows (GitHub Copilot AI Development Series) (en Inglés)"

GitHub Copilot Development Playbook is a practical guide to using AI assistance throughout the modern software development lifecycle. Rather than treating GitHub Copilot as simply a tool for completing lines of code, this book explores how developers can use AI to improve coding, debugging, testing, refactoring, documentation, code review, and everyday development workflows. The book begins with the foundations of AI-assisted programming and the role of GitHub Copilot in software development. You will learn how to configure and use Copilot effectively, understand how AI-generated suggestions work, and provide the context and instructions needed to obtain more useful results. From generating functions and classes to explaining unfamiliar code, Copilot can become a practical part of your development process when used with the right techniques. You will explore practical approaches to prompting and code generation, including how to describe programming tasks clearly, refine generated code, work with existing codebases, and evaluate AI suggestions before incorporating them into a project. The book also covers debugging and troubleshooting, helping you use Copilot to investigate errors, understand unexpected behavior, identify potential solutions, and improve existing implementations. Beyond writing code, this playbook examines how Copilot can support testing, refactoring, documentation, code review, and software maintenance. You will learn how to use AI assistance without surrendering engineering judgment, while developing workflows that keep your code understandable, maintainable, secure, and aligned with project requirements. Whether you are learning a new programming language, building applications, maintaining an existing project, or looking for ways to reduce repetitive development work, this book provides practical techniques for incorporating GitHub Copilot into real development scenarios. By the end of this book, you will have a stronger understanding of AI-assisted software development and a practical framework for using GitHub Copilot to write, understand, test, debug, improve, and maintain software more effectively.

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