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Generative AI for Software Developers

You're reading from   Generative AI for Software Developers Future-proof your career with AI-powered development and hands-on skills

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Product type Paperback
Published in Oct 2025
Last Updated in Oct 2025
Publisher Packt
ISBN-13 9781806671199
Length 454 pages
Edition 1st Edition
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Authors (5):
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Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
Sanjeet Sahay Sanjeet Sahay
Author Profile Icon Sanjeet Sahay
Sanjeet Sahay
Kamal Arora Kamal Arora
Author Profile Icon Kamal Arora
Kamal Arora
Ashutosh Dubey Ashutosh Dubey
Author Profile Icon Ashutosh Dubey
Ashutosh Dubey
Dhiraj Thakur Dhiraj Thakur
Author Profile Icon Dhiraj Thakur
Dhiraj Thakur
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Table of Contents (14) Chapters Close

Preface
1. Chapter 1 – The Art and Science of Generative AI FREE CHAPTER 2. Chapter 2 – Getting Started with Generative AI 3. Chapter 3 – Generative AI Architecture Fundamentals 4. Chapter 4 – Generative AI in Software Development 5. Chapter 5 – Prompt Engineering For Software Developers 6. Chapter 6 – Integrating Generative AI into the Software Development Cycle 7. Chapter 7 – Ethical and Security Best Practices in Generative AI 8. Chapter 8 –Generative AI Application Architecture and Design 9. Chapter 9 – Reinforcement Learning and AI Agent Architecture Design 10. Chapter 10 – Well-Architecting and Fine-tuning GenAI Application 11. Chapter 11 – Building a GenAI App from Prototype to Production 12. Closing Thoughts
13. Other books you may enjoy

Chapter 6 – Integrating Generative AI into the Software Development Cycle

Earlier in Chapter 4 - Generative AI Tools for Software Development, you learned about the profound impact of Generative AI on software development and explored various tools designed to assist you in each phase of the software development lifecycle. Now, it’s time to take one more step forward and deepen your understanding of how to use AI-driven tools effectively in your software development workflows.

Software development is evolving at a lightning pace, with teams often under immense pressure to deliver features faster while maintaining high quality. Developers face challenges such as migrating legacy applications to modern architectures, debugging critical issues under tight deadlines, and enhancing team productivity without compromising the end product. These challenges create a demand for innovative solutions across industries like fintech, healthcare, and retail. In this chapter, you will...

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