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. That's where GitHub Copilot comes in, helping with regular coding tasks so that you and your team can focus on what you do best: adding value to the end users.
Written by industry experts Rob Bos and Randy Pagels — trainers who’ve helped hundreds of teams successfully adopt GitHub Copilot — this book showcases how GitHub Copilot impacts all aspects of engineering work, from ideation and requirements gathering, to writing code and scripts, to testing and debugging that code. Inside, you’ll explore advanced features like GitHub Copilot pull request suggestions, multi-file awareness, and contextual prompting. Plus, you'll discover how to integrate GitHub Copilot into your team’s workflows, roll it out successfully across roles, boost cross-role collaboration, and build a culture of AI adoption that scales.
By the end of the book, you will understand where GitHub Copilot makes an impact, moving beyond autocomplete and unlocking its full power across the entire software development lifecycle. Ultimately, this isn’t just about individual productivity — it’s about enabling the entire team to work smarter, faster, and more collaboratively with AI.

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Spis treści

The GitHub Copilot Handbook. A practical guide to transforming the software development lifecycle with GitHub Copilot eBook -- spis treści

• 1. GitHub Copilot Explained
• 2. Getting Started with Generative AI
• 3. Choosing the Right GitHub Copilot Plan
• 4. Mastering GitHub Copilot in Your IDE: Inline Suggestions, Chat, and Agent Mode
• 5. Going Beyond Code: Debugging, Terminal, and Collaboration with GitHub Copilot
• 6. Collaborating with Copilot on GitHub.com: Issues, PRs, Reviews, and Coding Agent
• 7. Extending GitHub Copilot with the Model Context Protocol (MCP)
• 8. Navigating the GitHub Copilot Learning Curve
• 9. Building an Internal GitHub Copilot Community
• 10. Changing the Narrative: Reframing Engineering with AI