Programming with GitHub Copilot: Write Better Code–Faster! (Tech Today)
Author: Kurt Dowswell (Author)
Publisher finelybook 出版社: Wiley
Edition 版本: 1st
Publication Date 出版日期: 2024-08-06
Language 语言: English
Print Length 页数: 336 pages
ISBN-10: 1394263376
ISBN-13: 9781394263370
Book Description
Accelerate your programming with the most popular AI coding tool on the market: GitHub Copilot
In Programming with GitHub Copilot: Write Better Code ― Faster, veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub’s powerful, new AI coding assistant, Copilot. In the book, you’ll discover how to use the tool’s capabilities to push the boundaries of what you thought was possible in programming.
Even if you’ve used autocomplete tools―like VS Code’s TabNine extension―before, you’ll be floored by GitHub Copilot’s potential to transform the way you code. You’ll learn how to install, configure, and use the software, from employing it’s most common and widely used features to deploying business and enterprise functionality. You’ll even discover how to fix runtime and compilation bugs and write unit, integration, and end-to-end tests.
You’ll also find:
- Prompt strategies to get GitHub Copilot to help you brainstorm new code solutions
- What the future looks like for AI-assisted coding, including discussions of issues like code licensing and ethics
- Directions for chatting with Copilot, including common commands and prompts to help you guide the conversation to where you want it to go
Perfect for practicing programmers, developers, and software engineers, Programming with GitHub Copilot is also an essential resource for coders and other IT practitioners-in-training who want to expand their knowledge and improve the scope and depth of their programming skillsets.
From the Back Cover
Supercharge your programming speed and skill with GitHub Copilot
In Programming with GitHub® Copilot: Write Better Code – Faster, senior software developer and GitHub community hero Kurt Dowswell delivers a practical, hands-on discussion of how you can use GitHub’s AI-powered coding assistant Copilot to supercharge your coding process. In the book, you’ll learn how Copilot’s capabilities push the boundaries of what you thought was possible based on your previous use of autocomplete tools like TabNine in VS Code.
This in-depth exploration of GitHub’s latest groundbreaking programming tool walks you through every relevant aspect of Copilot, from getting started with installation and configuration to using its most widely loved features, chatting with the tool, using Business features, and learning how to use Copilot Enterprise. You’ll even discover how to program from a specification, fix runtime and compilation bugs, and write unit, integration, and end-to-end tests.
A can’t-miss desk reference for practicing programmers, developers, and software engineers, Programming with GitHub® Copilot is also an essential resource for coders and other IT practitioners-in-training seeking to expand their skillset and improve the scope and depth of their programming knowledge.
About the Author
KURT DOWSWELL is a software architect with over 13 years of experience delivering enterprise-grade software solutions for the Department of Defense. He is one of the first developers to work with GitHub Copilot and is a GitHub “community hero,” evangelizing the AI coding tool to the global developer community.
相关文件下载地址
相关推荐
- Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines, 2nd Edition
- Zabbix 7 IT Infrastructure Monitoring Cookbook: Explore the new features of Zabbix 7 for designing, building, and maintaining your Zabbix setup, 3rd Edition
- Microsoft 365 Copilot At Work: Using AI to Get the Most from Your Business Data and Favorite Apps
- Real-World Edge Computing: Scale, secure, and succeed in the realm of edge computing with Open Horizon
- Salesforce DevOps for Architects: Discover tools and techniques to optimize the delivery of your Salesforce projects
- Segment Routing in MPLS Networks: Transition from traditional MPLS to SR-MPLS with TI-LFA FRR