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Solutions Architect's Handbook

You're reading from   Solutions Architect's Handbook Kick-start your career with architecture design principles, strategies, and generative AI techniques

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781835084236
Length 578 pages
Edition 3rd Edition
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Authors (2):
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Neelanjali Srivastav Neelanjali Srivastav
Author Profile Icon Neelanjali Srivastav
Neelanjali Srivastav
Saurabh Shrivastava Saurabh Shrivastava
Author Profile Icon Saurabh Shrivastava
Saurabh Shrivastava
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Toc

Table of Contents (20) Chapters Close

Preface 1. Solutions Architects in Organizations 2. Principles of Solution Architecture Design FREE CHAPTER 3. Cloud Migration and Cloud Architecture Design 4. Solution Architecture Design Patterns 5. Cloud-Native Architecture Design Patterns 6. Performance Considerations 7. Security Considerations 8. Architectural Reliability Considerations 9. Operational Excellence Considerations 10. Cost Considerations 11. DevOps and Solution Architecture Framework 12. Data Engineering for Solution Architecture 13. Machine Learning Architecture 14. Generative AI Architecture 15. Rearchitecting Legacy Systems 16. Solution Architecture Document 17. Learning Soft Skills to Become a Better Solutions Architect 18. Other Books You May Enjoy
19. Index

Modernizing legacy code with generative AI

Modernizing legacy code with GenAI represents a cutting-edge approach to software development. GenAI tools can analyze and understand legacy code, often written in outdated programming languages, and assist in rewriting or translating it into modern, more efficient languages or frameworks. This process accelerates code modernization and helps maintain the functionality of legacy systems while leveraging the advantages of current technologies.

By automating part of the code conversion process, genAI reduces the manual effort and expertise required, making the modernization process more accessible and less error-prone. This approach mainly benefits businesses looking to update their legacy systems without disrupting operational efficiency. Modernizing legacy code with GenAI involves tools like Codex, part of OpenAI’s offerings (which powers GitHub Copilot), and, potentially, foundation models. These tools leverage AI to understand...

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