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Item #:
148578749
GitHub Copilot and AI Coding Tools in Practice: Accelerate AI Adoption from Individual Developers to Enterprise
Item #:
148578749
QAR 257
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- 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.
| Publisher | Apress |
| Publication date | September 27, 2025 |
| Edition | First Edition |
| Language | English |
| Print length | 351 pages |
| ISBN-13 | 979-8868817830 |
| Item Weight | 1.42 pounds (640 grams) |
| Dimensions | 7.01 x 0.8 x 10 inches (17.8 x 2 x 25.4 cm) |
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GitHub Copilot and AI Coding Tools in Practice: Accelerate AI Adoption from Individual Developers to Enterprise
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Features & Benefits
- Learn the current state of generative AI coding tools.
- Understand the application of tools like GitHub Copilot across the software development life-cycle.
- Gain insights into the future of AI-generated software.
- Receive clear technical information on using AI coding tools effectively.
- Stay relevant in the software industry amid evolving AI technologies.
- Master AI-generated code, bridging the gap between expectations and reality.
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