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Supercharged Coding with GenAI

You're reading from   Supercharged Coding with GenAI From vibe coding to best practices using GitHub Copilot, ChatGPT, and OpenAI

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Product type Paperback
Published in Aug 2025
Last Updated in Sep 2025
Publisher Packt
ISBN-13 9781836645290
Length 460 pages
Edition 1st Edition
Languages
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Authors (2):
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Hila Paz Herszfang Hila Paz Herszfang
Author Profile Icon Hila Paz Herszfang
Hila Paz Herszfang
Peter V. Henstock Peter V. Henstock
Author Profile Icon Peter V. Henstock
Peter V. Henstock
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Toc

Table of Contents (23) Chapters Close

Preface 1. Part 1: Foundations for Coding with GenAI FREE CHAPTER
2. From Automation to Full Software Development Life Cycle: The Current Opportunity for GenAI 3. Your Quickstart Guide to OpenAI API 4. A Guide to GitHub Copilot with PyCharm, VS Code, and Jupyter Notebook 5. Best Practices for Prompting with ChatGPT 6. Best Practices for Prompting with OpenAI API and GitHub Copilot 7. Part 2: Basics to Advanced LLM Prompting for GenAI Coding
8. Behind the Scenes: How ChatGPT, GitHub Copilot, and Other LLMs Work 9. Reading and Understanding Code Bases with GenAI 10. An Introduction to Prompt Engineering 11. Advanced Prompt Engineering for Coding-Related Tasks 12. Refactoring Code with GenAI 13. Fine-Tuning Models with OpenAI 14. Part 3: From Code to Production with GenAI
15. Documenting Code with GenAI 16. Writing and Maintaining Unit Tests 17. GenAI for Runtime and Memory Management 18. Going Live with GenAI: Logging, Monitoring, and Errors 19. Architecture, Design, and the Future 20. Other Books You May Enjoy 21. Index
Appendix

Refactoring Code with GenAI

Software developers write in programming languages to instruct a computer to perform specific tasks. The source code in the programming language is translated by a compiler or interpreter into executable computer instructions. One might conclude that programming is only artificial communication with a computer, but it is much more than that.

The true, implicit goal of a computer program is to communicate with other developers. Once code is written, it is frequently read many times, hours, weeks, or even years later, by the same or other developers. The developers will read the code to understand it, debug it, and integrate it with other systems. The goal must be to communicate with the precision required by software, while maintaining clarity for future developers.

Thus, code is written once but read many times. Before GenAI code generation became common, Python practitioners invested significant effort into code quality and style. Today, we can...

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