Unleashing the Power of LLMs for Coding: A Paradigm Shift

In this chapter, we’ll be unveiling the advantages of coding with LLMs and looking at what is possible with code generation with LLMs such as ChatGPT and Bard (now Gemini). Here, you’ll find out how to start getting good results, recognize the limitations of code taken from LLMs, and discover practical examples of LLM applications in coding tasks.

This should help you to get into some coding and prompt engineering. You’ll get some results, then get better results, and you’ll start to make more stable code.

We’ll be looking at some example prompts for the LLMs and the code they produce, progressing to better prompts to get better code. However, this will take multiple prompts. Then, in Chapter 3, we’ll look more at the whole process of correcting and debugging your code.

This chapter covers the following topics:

• Unveiling the advantages of coding with LLMs
• Plan your...