Github Copilot Ai Development Series (6 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: Neu. Neuware - 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.…

Taschenbuch. Condition: Neu. Neuware - GitHub Copilot Automation and AI Development explores the next stage of AI-assisted software engineering: using GitHub Copilot to support intelligent development workflows, automate repetitive tasks, work with complex codebases, and build more efficient software development processes. As AI coding tools evolve beyond simple code completion, developers can use them for increasingly sophisticated tasks across the development lifecycle. This book examines how to approach AI-powered development as a workflow rather than a collection of isolated coding suggestions. You will learn how to combine Copilot's capabilities with structured instructions, project context, development tools, and automation techniques to create more productive and repeatable workflows.The book covers AI-assisted automation, coding agents, intelligent development workflows, codebase analysis, code generation, refactoring, testing, documentation, and project maintenance. You will learn how to break complex programming tasks into manageable steps, provide effective context, review AI-generated changes, and maintain appropriate control over automated development processes. You will also explore practical techniques for working with larger projects and existing repositories. These include understanding unfamiliar codebases, locating relevant files and components, analyzing dependencies, improving implementations, generating tests, updating documentation, and handling repetitive engineering tasks with AI assistance.A major focus of the book is responsible automation. Greater automation does not eliminate the need for developers to understand and evaluate the resulting code. You will learn how to establish review practices, validate AI-generated changes, consider security and reliability concerns, protect sensitive information, and maintain human oversight when applying AI to software engineering tasks. From individual development workflows to broader engineering processes, this playbook shows how GitHub Copilot can become part of a more intelligent and automated approach to building software. It is designed for developers who want to move beyond basic AI code completion and explore practical ways to integrate AI assistance into real-world development and automation. By the end of this book, you will understand how to design more capable AI-assisted development workflows, automate repetitive programming tasks, work more effectively with complex codebases, and use GitHub Copilot as a practical component of modern AI-powered software engineering.…