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SKU/Artículo: AMZ-B0G6W7115Z

The Complete GitHub Copilot Handbook: Prompt Engineering, Code Generation, Testing, and Team Workflow Strategies.

Format:

Hardcover

Hardcover

Kindle

Paperback

Detalles del producto

Disponibilidad:
En stock

Peso con empaque:
0.77 kg

Devolución:
Sí

Condición
Nuevo

Producto de:
Amazon

Viaja desde
USA

Sobre este producto

GitHub Copilot is rapidly transforming software development. From generating high-quality code to assisting with testing, debugging, documentation, automation, and CI/CD pipelines, AI-driven coding is no longer experimental, it is the new professional standard. Teams and organizations adopting AI-assisted workflows are shipping faster, writing fewer bugs, scaling securely, and maintaining consistent code quality across projects.Written for engineers, technical leads, DevOps teams, and software architects, this handbook distills practical experience from real engineering environments. It offers hands-on tutorials, full code demonstrations, enterprise rollout strategies, and actionable best practices to turn Copilot into a core productivity tool.This book is a complete guide to mastering GitHub Copilot for modern development. You will learn how to engineer prompts, generate entire components, build production-ready features, write and automate tests, enforce security standards, and streamline collaboration across teams. The book moves from beginner concepts to advanced automation, governance, model selection, legal risk management, AI quality assurance, and organizational adoption playbooks, making it one of the most comprehensive GitHub Copilot resources available.What’s Inside: • Prompt engineering frameworks for predictable, high-quality code output • Building full features, components, endpoints, and scalable architecture with AI • Testing automation, unit tests, integration tests, TDD workflows, quality gates • Debugging, observability, telemetry, and safe rollouts using Copilot and CI/CD • Refactoring, PR review automation, maintainability and clean code enforcement • Agents, code generation pipelines, workflow automation, release orchestration • Security policies, licensing compliance, supply-chain protection, risk mitigation • Enterprise adoption guides, productivity metrics, ROI measurement frameworks • Future-proof AI development strategies and ongoing model update practicesIdeal for software engineers, backend developers, frontend developers, DevOps engineers, technical writers, tech leads, AI-curious professionals, and organizations planning to integrate GitHub Copilot into team workflows. You should be familiar with coding fundamentals; no AI experience required.Whether you want to learn Copilot in one weekend or deploy it across an engineering organization over several months, this handbook scales with your pace. Read sequentially or jump to reference chapters when you need targeted guidance. Appendices include quick-start prompt templates, governance samples, and cheat sheets for on-the-job use.If you're ready to boost development speed, write cleaner code, automate repetitive tasks, reduce bugs, and future-proof your engineering workflow with AI, this is the book you need. Get your copy today and become the developer who adapts early, codes smarter, and builds faster with GitHub Copilot.

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