GitHub Copilot and AI Coding Tools in Practice
Language: English
Published by APress, US, 2025
- First Edition
- Softcover
- New

Seller: Rarewaves.com UK, London, United KingdomRarewaves.com UK
AbeBooks seller since June 11, 2025
Condition: New
US$ 60.51
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Add to basketItem description from seller
Learn the current state of generative AI coding tools like GitHub Copilot, what the underlying models mean, and how to use them across the full development life-cycle. Look ahead to the near future of AI-generated software and understand how software developers can stay relevant in the industry.Many companies have predicted that human coders will soon be redundant due to AI-generated code, but there is a big gap between the expectations and what is actually happening on the ground. A closer look at the current state of the tools and research in this area will offer realism and guidance to developers worried regarding redundancy.Close the gap between hype and practical applications by receiving context and clear technical information on usage, understanding, and deployment of these tools.What You Will Learn:How to use coding and software AI toolsHow software AI tools workHow software AI tools fit in an industry contextHow to use AI tools across the SDLC - it's more than just faster codingWho This Book is ForAll software industry participants interested in mastering AI-generated code.…
Seller Inventory # LU-9798868817830
- Title
- GitHub Copilot and AI Coding Tools in Practice
- Author
- Nick Wienholt
- Publisher
- APress, US
- Publication year
- 2025
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 13
- 9798868817830
- Edition
- First Edition.
- Item weight
- 644 grams
- Dimensions
- 17.81 x 2.03 x 25.4 cm
Learn the current state of generative AI coding tools like GitHub Copilot, what the underlying models mean, and how to use them across the full development life-cycle. Look ahead to the near future of AI-generated software and understand how software developers can stay relevant in the industry.
Many companies have predicted that human coders will soon be redundant due to AI-generated code, but there is a big gap between the expectations and what is actually happening on the ground. A closer look at the current state of the tools and research in this area will offer realism and guidance to developers worried regarding redundancy.
Close the gap between hype and practical applications by receiving context and clear technical information on usage, understanding, and deployment of these tools.
What You Will Learn:
- How to use coding and software AI tools
- How software AI tools work
- How software AI tools fit in an industry context
- How to use AI tools across the SDLC – it's more than just faster coding
Who This Book is For
All software industry participants interested in mastering AI-generated code.
"Synopsis" may belong to another edition of this title.
About the Author
Nick Wienholt is a Sydney-based software engineer with more than 25 years of experience in the design and implementation of large-scale software systems, and has spent the last decade focused on development in the data science and AI space. He has a strong track record of delivery across a variety of financial and e-commerce systems, having consulted and worked with a large number of major corporate and propriety trading firms across Australia, and has been a keen user and advocate of ML/AI tools to accelerate development since their release.
"About the title" may belong to another edition of this title.
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