Pair Programming with a Large Language Model

What You'll Learn

• Use LLMs to simplify your code and increase productivity as a software engineer.
• Reduce technical debt by explaining and documenting complex code bases.
• Get free access to the PaLM API to apply throughout the course.

About This Course

This course, developed with Google, introduces AI pair programming to enhance, debug, and document code. Through hands-on access to Google’s PaLM API, you will gain the skills needed to improve your coding efficiency by leveraging LLMs to generate explanations, write tests, and refactor code.

• Simplify and optimize your code using LLMs as a programming assistant.
• Write effective test cases using AI assistance.
• Debug and refactor code with LLM suggestions.
• Document and explain complex code across various programming languages.

By completing this course, you’ll be proficient in using LLMs to support pair programming, simplifying your workflow and reducing technical debt.

Course Outline

• Introduction
  Overview of LLMs in pair programming and their applications across the tech stack.
• Getting Started
  Introduction to setting up and using Google’s PaLM API with practical code examples.
• Using a String Template
  Implementing string templates for generating code and automating text generation tasks.
• Pair Programming Scenarios
  Practical scenarios for using LLMs to assist in coding, debugging, and code generation.
• Technical Debt
  Addressing and reducing technical debt by explaining and documenting complex code.
• Conclusion
  Recap of course concepts and insights on applying LLMs for ongoing development tasks.

Who Should Join?

This course is ideal for anyone with basic Python knowledge interested in using LLMs to enhance their coding efficiency through pair programming.