Generative AI for Software Development
eBook - PDF

Generative AI for Software Development

Code Generation, Error Detection, Software Testing

  1. 330 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Generative AI for Software Development

Code Generation, Error Detection, Software Testing

About this book

As the field of Artificial Intelligence continues to evolve, Generative AI has emerged as a powerful tool in the realm of software development. AI models capable of generating high-quality, human-like code can significantly accelerate the software development process, assist in troubleshooting, and even automate tasks traditionally performed by human developers.

Generative AI models, such as OpenAI, DeepMind, and others, are already demonstrating the ability to write functional code, generate documentation, and assist in code review. These models are not only reducing the time it takes to develop applications but are also making software development more accessible to a broader audience, including non-technical users.

This book is intended to serve as a comprehensive guide for developers, technology leaders, and anyone interested in understanding how to leverage Generative AI in software development. It will cover the underlying technology behind these models, practical use cases, integration into development workflows, and ethical considerations. Additionally, it explores how the democratization of coding through AI will shape the future of software engineering.

By providing insights into real-world applications and best practices for integrating generative AI into the software lifecycle, this book empowers readers to stay ahead of the technological curve in a rapidly evolving industry.

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Yes, you can access Generative AI for Software Development by Seifedine Kadry,Balasubramaniam S in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Preface
  2. Contents
  3. About the Editors
  4. List of Contributors
  5. 1 Introduction to Generative AI in Software Development
  6. 2 The Rise of Generative Artificial Intelligence in Software Development
  7. 3 How Generative AI Models Work: Behind the Code
  8. 4 Generative AI for Debugging and Error Detection
  9. 5 Future Frontiers of Software Testing Beyond Debugging and Accuracy Automation Driven by Generative AI
  10. 6 Generative AI-Assisted Pair Programming: A New Era of Collaboration
  11. 7 Software Development: No-Code and Low-Code with Generative AI
  12. 8 Redefining and Transforming Software Development with Generative AI
  13. 9 Integrating Generative AI into Your Development Workflow
  14. 10 Automating Code Refactoring with AI: Enhancing Code Quality and Efficiency
  15. 11 Real-World Software Solutions Through Generative AI in Transforming Code and Beyond
  16. 12 Navigating Challenges and Opportunities of Generative AI in Software Development
  17. Index