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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

Product type Paperback

Published in Aug 2025

Last Updated in Sep 2025

Publisher Packt

ISBN-13 9781836645290

Length 460 pages

Edition 1st Edition

Languages

Python

Tools

PyTorch Lightning

Concepts

Programming Language

Authors (2):

Hila Paz Herszfang

Peter V. Henstock

View More author details

Table of Contents (23) Chapters

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

Further reading

Kent Beck’s book on extreme programming. 2000. Extreme Programming Explained: Embrace Change.
Kent Beck’s book on test-driven development. 2002. Test-Driven Development by Example.
Effects of Test-Driven Development: A Comparative Analysis of Empirical Studies. Simo Mäkinen & Jürgen Münch: https://link.springer.com/chapter/10.1007/978-3-319-03602-1_10
Leveraging Large Language Models for Python Unit Test. Medlen Jiri, Bari Emese, Patrick Medlen. 2024: https://ieeexplore.ieee.org/document/10685204.

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Authors (2)

Hila Paz Herszfang

Hila Paz Herszfang

Hila Paz Herszfang, with seven years of building machine learning (ML) services and leading teams, holds a master's degree in information management systems and is completing a second master's in data science, both from Harvard Extension School. She developed a Python for MLOps Udemy course and runs a math and tech TikTok channel boasting 15K followers and 300K+ likes.

See other products by Hila Paz Herszfang

Peter V. Henstock

Peter V. Henstock

Peter V. Henstock is an AI expert with 25+ years of experience at Pfizer, Incyte, and MIT LL. He teaches graduate software engineering and AI/ML courses at Harvard Extension School. He holds a PhD in AI from Purdue and seven Master's degrees. Recognized as a top AI leader by DKA, Peter guides professionals in AI/ML, software, visualization, and statistics.

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