Coding with ChatGPT and Other LLMs
Coding with ChatGPT and Other LLMs
Navigate LLMs for effective coding, debugging, and AI-driven development
About the 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.
About the Author
Table of Contents
- What is ChatGPT and What are LLMs?
- Unleashing the Power of LLMs for Coding: A Paradigm Shift
- Code Refactoring, Debugging, and Optimization: A Practical Guide
- Demystifying Generated Code for Readability
- Addressing Bias and Ethical Concerns in LLM-Generated Code
- Navigating the Legal Landscape of LLM-Generated Code
- Security Considerations and Measures
- Limitations of Coding with LLMs
- Cultivating Collaboration in LLM-Enhanced Coding
- Expanding the LLM Toolkit for Coders: Beyond LLMs
- Helping Others and Maximizing Your Career with LLMs
- The Future of LLMs in Software Development
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