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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
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. Foundations for Coding with GenAI
2. From Automation to Full Software Development Life Cycle: The Current Opportunity for GenAI FREE CHAPTER 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. 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. 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

Crafting precise prompts for OpenAI API

Applying best practices for building a precise prompt with OpenAI API enables us to automate and scale the prompting process while ensuring quality outputs from the underlying LLMs.

We will revisit the five S’s best practices, beginning with structuring OpenAI API prompts. We will craft system prompts that incorporate the surrounding context and focus on a single task, enabling the development of reproducible and adaptable templates. Additionally, we will explore how incorporating specific and short instructions helps transform diverse inputs into concise user prompts.

Structured prompts

To structure prompts for OpenAI API, we use system prompts and user prompts to separate the surrounding context and single task objective from specific details such as steps, source code, and data. System prompts define the context and task, allowing for reuse across varying details such as different source codes. In later chapters of the...

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