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

Your Quickstart Guide to OpenAI API

Generative artificial intelligence (GenAI) platforms such as OpenAI are transforming entire industries by empowering everyday users to generate custom answers to questions, reports, and images. You do not have to be an AI expert to leverage OpenAI to supercharge your software development. This chapter focuses on setting up OpenAI and using its application programming interface (API) calls to generate quality code.

OpenAI offers numerous services such as chat, image generation, and text-to-speech. These are available through a RESTful HTTP request, which is a standard way for applications to communicate over the web, or through a programmatic interface of the openai Python package.

In our first quickstart guide of the book, we will walk through three interactive labs and three sets of requests, working with the OpenAI Chat service. We will dive into the different models available through OpenAI API, and how to impact the AI-generated output...