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Item #:
200030937
Github Copilot and AI Coding Tools in Practice: Accelerate AI Adoption from Individual Developers to Enterprise, (Paperback)
Item #:
200030937
USD 68
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Close the gap between hype and practical applications by receiving context and clear technical information on usage, understanding, and deployment of these tools.
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What Stands Out
Enhanced Productivity
GitHub Copilot accelerates coding tasks by providing real-time code suggestions, significantly reducing development time for individual developers and teams, thus boosting overall productivity.
Seamless Integration
Designed to work effortlessly with existing development environments, GitHub Copilot ensures a smooth transition, allowing enterprises to adopt AI coding tools without overhauling current workflows.
Enterprise-Ready Solutions
Catering to both individual developers and larger teams, GitHub Copilot offers scalable AI solutions that enhance collaboration and code quality, making it a valuable asset for enterprises aiming to innovate.
Product Details
- 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.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | September, 2025 |
| Pages | 336 |
| Subgenre | Programming |
| Series title | No Series |
| Edition | 1 |
| Publisher | Apress |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 7.04 x 0.75 x 10.01 in (17.9 x 1.9 x 25.4 cm) |
| Assembled product weight | 1.42 lb (640 grams) |
| Bisac subject heading | Computers |
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Nick Wienholt All Books Editorial Review
Github Copilot and AI Coding Tools in Practice: Accelerate AI Adoption from Individual Developers to Enterprise is a comprehensive non-fiction paperback that delves into the integration of AI in programming. Spanning 336 pages, this book is not only geared toward individual developers looking to enhance their coding skills but also targeted at enterprises aiming to adopt AI solutions in their workflow. Readers will appreciate the structured approach to understanding the nuances of AI tools like Github Copilot, which can significantly streamline coding processes. With clear insights and practical examples, this book is set to become an essential read in the field of computing and internet technologies.
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Pros
- Comprehensive insights on AI coding tools
- Focus on practical applications for developers
- Ideal for both individual and enterprise use
- Explores the depth of Github Copilot features
- Clear structure and easy to follow
Cons
- May not cover the very latest AI advancements
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USD 68
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Features & Benefits
- Learn the current state of AI coding tools like GitHub Copilot.
- Understand AI-generated software's impact on developer relevance.
- Gain practical insights on integrating AI tools throughout the development life-cycle.
- Receive clear technical guidance on effective usage and deployment.
- Ideal for all software industry participants eager to master AI-generated code.
- Navigate between industry expectations and real-world applications of AI in coding.
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