A practical guide to transforming the software development life cycle with GitHub Copilot
Rob Bos, Randy Pagels

#GitHub
#Copilot
#Software_development
#QA
#PM
#AI
#MCP
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.
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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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
Part 1: What is GitHub Copilot?
Chapter 1: GitHub Copilot Explained
Chapter 2: Getting Started with Generative Al
Chapter 3: Choosing the Right GitHub Copilot Plan
Part 2: Getting Started with GitHub Copilot
Chapter 4: Mastering GitHub Copilot in Your IDE: lnline Suggestions, Chat, and Agent Mode
Chapter 5: Going Beyond Code: Debugging, Terminal, and Collaboration with GitHub Copilot
Part 3: Exploring GitHub Copilot Integrations
Chapter 6: Collaborating with Copilot on GitHub.com: Issues, PRs, Reviews, and Coding Agent
Chapter 7: Extending GitHub Copilot with the Model Context Protocol (MCP)
Part 4: Getting the Most Out of GitHub Copilot
Chapter 8: Navigating the GitHub Copilot Learning Curve
Chapter 9: Building an Internal GitHub Copilot Community
Chapter 10: Changing the Narrative: Reframing Engineering with Al
Chapter 11: Unlock Your Exclusive Benefits
“AI gives us space to focus on design, architecture, and innovation – the things that make engineering truly human. That’s why I’m excited about this book by Randy Pagels and Rob Bos. In these pages, they don’t just explain how GitHub Copilot works; they also show how it fits into the real world of modern development.”
April Yoho, Senior Developer Advocate and DevOps Specialist at GitHub
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.









