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189740739
Learning GitHub Copilot: Multiplying Your Productivity With an AI Pair Programmer
Item #:
189740739
NZD 130
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- Supercharge your coding productivity with generative AI using GitHub Copilot. In this practical guide, author Brent Laster guides you through using generative AI for writing better code faster, generating tests with ease, creating polished documentation at any stage of development, and more. You'll also explore advanced uses--like leveraging Copilot's Agent functionality to add features autonomously and reviewing pull requests automatically. Learning GitHub Copilot is for developers, testers, DevOps engineers, and software professionals at all levels. Alongside the fundamentals, you'll dive into Copilot Edits, Agent mode, and Copilot Vision. You'll also learn how to create your own Copilot extensions to expand its capabilities. Whether you're working in Python, JavaScript, or any other language, this book helps you confidently integrate AI into your development workflow.Harness real-time AI insights to explore and understand unfamiliar code and algorithms Master inline completions and the chat interface to automate common tasks Turn natural language prompts into complete functions, tests, and docs quickly and easily Optimize AI results with context and prompts to get targeted solutions Streamline feature development and refactors with AI assistance in your IDE
| Publisher | O'Reilly Media |
| Publication date | 22 July 2025 |
| Language | English |
| Print length | 324 pages |
| ISBN-10 | 1098164652 |
| ISBN-13 | 978-1098164652 |
| Item weight | 544 g |
| Dimensions | 17.78 x 1.91 x 22.86 cm |
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NZD 130
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Features & Benefits
- Enhance coding efficiency with generative AI.
- Learn to write better code and generate tests effortlessly.
- Create polished documentation at any stage of development.
- Explore advanced features like autonomous feature addition and automated pull request reviews.
- Designed for developers, testers, DevOps engineers, and all software professionals.
- Confidently integrate AI into development workflows across various programming languages.
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