Discover the transformational impact of GitHub Copilot, from speeding up delivery, cutting grunt work, and transforming how your team codes, reviews, and ships software using the AI-powered features.
Free with your book: DRM-free PDF version + access to Packt's next-gen Reader*
Key Features
- Automate code generation, test writing, and debugging with AI across your dev workflow
- Explore GitHub Copilot’s advanced features like PR reviews, error insights, and Copilot Chat
- Scale Copilot across dev, QA, and PM roles with guided onboarding and practical usage patterns
Book Description
Cross-functional product teams are under constant pressure to build and ship faster, but too much time is lost to manual coding, slow reviews, and fragmented workflows. GitHub Copilot streamlines day-to-day coding so your team can focus on delivering value to users while maintaining high quality on real projects.
Written by industry experts Rob Bos and Randy Pagels, this book shows how GitHub Copilot supports your work from start to finish. You’ll learn how to turn ideas into tasks, write code with fewer hiccups, spot problems earlier, and understand errors when things go wrong. You’ll also see how Copilot suggests improvements in pull requests and helps fix common build issues, enabling teams to keep moving and ship with confidence.
You’ll integrate GitHub Copilot into daily routines, share it across roles, and make it stick with simple checklists and clear examples. You’ll also track what works, set guardrails, and build an internal community.
By the end, you’ll know when GitHub Copilot helps – and when it doesn’t – and you’ll be ready to write, review, and ship code with confidence on real projects.
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What you will learn
- Apply GitHub Copilot across the full software development life cycle
- Understand how AI powers the suggestions and chat features
- Boost productivity by automating tests, reviews, and pipeline fixes
- Integrate Copilot into IDEs and GitHub for maximum value
- Roll out Copilot across teams with proven onboarding strategies
- Build a knowledge-sharing culture with Copilot community champions
Who this book is for
This book is for anyone who works with application creation and who wants to harness GitHub Copilot in real-world coding environments. Whether you’re a beginner looking to speed up learning or a seasoned engineer aiming to boost productivity, this guide shows how to put Copilot to work effectively.
Software engineers, DevOps professionals, QA specialists, and tech leads will discover how to streamline coding, reviews, and delivery with AI-assisted workflows. Product managers and other collaborators will also gain insight into how, with GitHub Copilot, they themselves can leverage AI.
Table of Contents
- GitHub Copilot Explained
- Getting Started with Generative AI
- Choosing the Right GitHub Copilot Plan
- Mastering GitHub Copilot in Your IDE: Inline Suggestions, Chat, and Agent Mode
- Going Beyond Code: Debugging, Terminal, and Collaboration with GitHub Copilot
- Collaborating with Copilot on GitHub: Issues, PRs, Reviews, and Coding Agent
- Extending GitHub Copilot with the Model Context Protocol (MCP)
- Navigating the GitHub Copilot Learning Curve
- Building an Internal GitHub Copilot Community
- Changing the Narrative: Reframing Engineering with AI
Rob Bos is a Microsoft MVP, GitHub Star, and trainer focused on DevOps, GitHub (Actions, Copilot, and Advanced Security), and team enablement. He empowers teams to work smarter with GitHub tools, automating processes, improving security, and driving value delivery through practical, hands-on learning. Rob speaks at conferences worldwide and shares his insights through blogs, courses, and workshops. For work, Rob is a DevOps consultant at Xebia, helping customers with their DevOps culture.
Randy Pagels is a principal trainer at Xebia USA and a former Microsoft veteran with 17+ years of experience. He designs and delivers hands-on GitHub Copilot, Actions, and AI training. Randy is known for his engaging teaching style, practical scenarios, and commitment to helping teams scale AI adoption confidently and effectively. He also speaks at developer conferences and industry events throughout the year.
