Coding with ChatGPT and Other LLMs
Navigate LLMs for effective coding, debugging, and AI-driven development
Created by Dr. Vincent Austin Hall
Explore how large language models like ChatGPT and Gemini can transform your coding workflow. Learn to generate, refactor, and debug code efficiently while understanding the ethical and legal aspects of AI-driven development. Gain practical skills that keep you ahead in the fast-changing world of software engineering.
Packt | Nov 2024 | 304 min
What You Will Learn
You will work through real-world coding examples and prompts that show how to use LLMs for tasks like code generation, debugging, and optimization. Along the way, you will learn to spot and handle issues such as bias and unexplainable code, and discover how to apply these skills to your own projects and career goals.
Key Features
- Generate, refactor, and debug code using LLMs to boost productivity and code quality
- Integrate LLMs with IDEs for faster development and fewer errors in your workflow
- Recognize and address ethical, legal, and bias-related challenges in AI-generated code
Target Audience
Ideal for developers with some coding experience who want to leverage AI tools in their workflow. If you are a software engineer, data scientist, or tech professional aiming to improve productivity, stay relevant, and understand the broader impacts of LLMs, you will find practical strategies and insights here.
