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

A Guide to GitHub Copilot with PyCharm, VS Code, and Jupyter Notebook

GitHub Copilot, an AI pair programmer, is enabling developers to supercharge their coding abilities and write code more efficiently. The application uses an underlying large language model (LLM) designed specifically for code completion tasks, code analysis, and chat for coding-related tasks.

Since we built our own code completion program capable of completing a Python function based on its signature alone in Chapter 2, we can better understand the role of LLMs in Copilot’s implementation, as well as what other preprocessing and postprocessing work is required.

This chapter is dedicated to working with GitHub Copilot in our integrated development environment (IDE). First, we will set up a GitHub Copilot account and determine who is eligible for a free account. Then, we will connect our account to our IDE (either VS Code or PyCharm) and explore the three interaction modes of the tool: chat, completion...