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Coding with ChatGPT and Other LLMs

Coding with ChatGPT and Other LLMs

By : Dr. Vincent Austin Hall
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Coding with ChatGPT and Other LLMs

Coding with ChatGPT and Other LLMs

4 (4)
By: Dr. Vincent Austin Hall

Overview of this book

Keeping up with the AI revolution and its application in coding can be challenging, but with guidance from AI and ML expert Dr. Vincent Hall—who holds a PhD in machine learning and has extensive experience in licensed software development—this book helps both new and experienced coders to quickly adopt best practices and stay relevant in the field. You’ll learn how to use LLMs such as ChatGPT and Gemini to produce efficient, explainable, and shareable code and discover techniques to maximize the potential of LLMs. The book focuses on integrated development environments (IDEs) and provides tips to avoid pitfalls, such as bias and unexplainable code, to accelerate your coding speed. You’ll master advanced coding applications with LLMs, including refactoring, debugging, and optimization, while examining ethical considerations, biases, and legal implications. You’ll also use cutting-edge tools for code generation, architecting, description, and testing to avoid legal hassles while advancing your career. By the end of this book, you’ll be well-prepared for future innovations in AI-driven software development, with the ability to anticipate emerging LLM technologies and generate ideas that shape the future of development.
Table of Contents (19 chapters)
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1
Part 1: Introduction to LLMs and Their Applications
5
Part 2: Be Wary of the Dark Side of LLM-Powered Coding
10
Part 3: Explainability, Shareability, and the Future of LLM-Powered Coding
14
Part 4: Maximizing Your Potential with LLMs: Beyond the Basics

Documenting code

Often, you’ll come across code that someone else (including an earlier version of you) has written and it’ll not make sense to you. You might have to go through each line and function and class, running it in your mind and testing each bit of code in an IDE.

Fortunately, there is now another option: LLMs or chatbots. You can get one to be your personal code translator to clarify what is going on.

You can put some code in the chat window and ask the bot to explain what it does. You will generally also get detailed explanations when the chatbots give you code.

Let’s get ChatGPT and to explain some code

Statistical tests are useful for statisticians and data scientists, so, let’s do some. Jason Brownlee can help here [Brownlee_17Stats]. What is a Shapiro-Wilk test?

Here is some code in Python for this, from https://machinelearningmastery.com/statistical-hypothesis-tests-in-python-cheat-sheet/:

# Example of the Shapiro-Wilk...
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Coding with ChatGPT and Other LLMs
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