Ultimate AI-Assisted Development with GitHub Copilot : Unlock Faster AI-Powered Development, Testing and Automation in Java, Python, TypeScript, Go, and C++ with GitHub Copilot (English Edition).

Format:

Book

Author/Creator:

Dixitt, Shallabh.

Language:

English

Subjects (All):

Artificial intelligence.

Computer programming.

Physical Description:

1 online resource (394 pages)

Edition:

1st ed.

Place of Publication:

Delhi : Orange Education PVT Ltd, 2025.

Summary:

AI-assisted coding is transforming how software is built--faster, smarter, and with fewer errors. GitHub Copilot leads this revolution by turning natural language into functional code, enabling developers to focus on solving problems rather than writing boilerplate.The Ultimate AI-Assisted Development with GitHub Copilot takes you step-by-step through mastering Copilot, starting with initial setup and basic use across multiple languages like Java, Python, TypeScript, Go, and C++. You'll explore prompt engineering techniques to craft effective instructions, leverage multi-modal inputs to interact beyond text, and unlock advanced features like Vibe Coding and Agent Mode to create context-aware, intelligent workflows. The book also covers integrating Copilot into testing and debugging processes, automating repetitive tasks, and embedding AI-powered coding into CI/CD pipelines to streamline DevOps practices.Whether you're building APIs, automating tests, refactoring code, or optimizing release workflows, this book teaches you how to collaborate with AI--not just use it. Don't get left behind--unlock the full potential of GitHub Copilot and future-proof your skills today.

Contents:

Cover Page

Title Page

Copyright Page

Dedication Page

About the Author

About the Technical Reviewer

Acknowledgements

Preface

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Errata

Table of Contents

1. The Rise of AI in Coding

Introduction

Structure

Historical Evolution of Coding Practices

The Role of Artificial Intelligence in Software Development

The Inception and Development of GitHub Copilot

Historical Background

The Role of OpenAI and GPT

Summary of Evolution of OpenAI GPT Models

Architectural Details of OpenAI Codex

Transformer Architecture Components

API Calls and Backend Architecture

Explanation of Body Fields

Security Risks and Vulnerabilities

Real-World Pitfalls and Privacy Protections in AI-Assisted Coding

AI-Generated Code Errors and Debugging Practices

Integration with GitHub and IDEs

Continuous Learning and Improvement

The Impact of AI on Modern Coding Paradigms Generated by AI.

Notes:

Description based on publisher supplied metadata and other sources.

Part of the metadata in this record was created by AI, based on the text of the resource.

ISBN:

93-498-8820-3

93-498-8849-1

OCLC:

1532832865