GitHub Copilot Mastery: The Complete Guide To AI-Powered Programming.
Format:
Paperback
En stock
0.55 kg
Sí
Nuevo
Amazon
USA
- GitHub Copilot Mastery explores the transformative power of Generative AI, AI-powered coding assistants, and large language models (LLMs) in modern software development. Built around the real-world capabilities of GitHub Copilot, this book delivers a deep, practical guide to AI-assisted programming.Inside, you’ll explore:AI-assisted code generationPrompt engineering for developersContext-aware programmingCopilot Chat workflowsNatural Language Processing (NLP) in developmentIntelligent software testing and debuggingAI-driven productivity systemsAs artificial intelligence reshapes software engineering, tools powered by machine learning and semantic reasoning are becoming essential. This guide explains not only how Copilot works—but how to use it strategically within professional environments like VS Code and JetBrains IDEs.This is not a surface-level overview.GitHub Copilot Mastery provides a structured, technical, and workflow-focused approach to AI-powered programming. It bridges Generative AI theory, software engineering best practices, AI semantics, context modeling, expert systems thinking, and real-world development use cases.Whether you work with Python, JavaScript, Java, C#, or TypeScript, the principles in this book apply across modern stacks and enterprise environments.Artificial Intelligence is no longer experimental in development—it is operational.This book teaches you how to:Collaborate effectively with GitHub CopilotEngineer precise prompts for accurate code generationReduce debugging time with AI-assisted testingImprove documentation workflowsAccelerate refactoring and optimizationIntegrate AI into Agile and DevOps processesUnderstand AI limitations, bias, and responsible usageRather than replacing developers, AI enhances developer intelligence. This guide shows you how to stay competitive in the evolving AI-powered programming landscape.What’s Inside:Foundations of Generative AI for DevelopersPrompt Engineering for Code GenerationContext Management and AI SemanticsCopilot Chat Mastery TechniquesAI-Assisted Software Testing & DebuggingSecure and Responsible AI Coding PracticesWorkflow Automation with AIProductivity Systems for Modern EngineersMulti-language AI coding strategiesReal-world project examplesYou’ll gain both conceptual understanding and practical execution skills.Who This Book Is For:Software developersBackend and frontend engineersComputer science studentsAI enthusiastsDevOps professionalsTech leads and engineering managersProgrammers transitioning into AI-powered workflowsNo advanced AI research background is required, though basic programming knowledge will help you maximize value.The future of software engineering is accelerating. AI-assisted development is becoming standard practice across startups and enterprises worldwide. Developers who understand how to leverage GitHub Copilot today will be better positioned for tomorrow’s AI-integrated workflows.
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