Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Save more on your purchases! discount-offer-chevron-icon
Savings automatically calculated. No voucher code required.
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletter Hub
Free Learning
Arrow right icon
timer SALE ENDS IN
0 Days
:
00 Hours
:
00 Minutes
:
00 Seconds
Arrow up icon
GO TO TOP
Supercharged Coding with GenAI

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

Arrow left icon
Product type Paperback
Published in Aug 2025
Last Updated in Sep 2025
Publisher Packt
ISBN-13 9781836645290
Length 460 pages
Edition 1st Edition
Languages
Arrow right icon
Authors (2):
Arrow left icon
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
Arrow right icon
View More author details
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

Lab 2.1 – sending your first OpenAI API request using the openai Python package

With the installed Python package and the API Keys, we are all set to execute our first OpenAI API request. Note that you do not need OpenAI platform credits to complete this lab, and we will instruct you how to load credits to your account later in this chapter. If you have previously loaded credits to the OpenAI platform, this example should cost no more than a fraction of a cent to execute.

In this lab, we will start with a simple template for executing OpenAI API requests to the Chat service and printing the response output. We will have three steps:

  1. Create an openai.OpenAI class instance.
  2. Submit a request to the Chat service with a single user prompt and a model selection such as GPT-4o-mini or GPT-3.5-turbo.
  3. Print the response output.

These steps are in place in our starter code, and we will walk you through completing it, running it, and analyzing the results...

lock icon The rest of the chapter is locked
Visually different images
CONTINUE READING
83
Tech Concepts
36
Programming languages
73
Tech Tools
Icon Unlimited access to the largest independent learning library in tech of over 8,000 expert-authored tech books and videos.
Icon Innovative learning tools, including AI book assistants, code context explainers, and text-to-speech.
Icon 50+ new titles added per month and exclusive early access to books as they are being written.
Supercharged Coding with GenAI
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Modal Close icon
Modal Close icon