Test-Driven Development in an AI World

1h 6mIntermediate2025-08-13

Authors

Carlos Solís

System Developer and Author

Course details

In this course, Carlos Solís—an author, professor, developer, and Certified Scrum Master—explores how to integrate artificial intelligence with Test Driven Development (TDD) and shows you how to transform your coding practices into a reliable, scalable workflow. Learn to use various AI tools to generate and refine code with more precision and context. Delve into the fundamentals of TDD, including unit tests, acceptance tests, and integration tests, and learn about the powerful Red-Green-Refactor cycle. Discover how to configure your development environment for AI-assisted coding and set up testing frameworks. This course empowers you to build new features using TDD principles, utilizing AI to speed up development while maintaining high-quality standards. By the end of this course, you will be able to transform your approach to software development with cutting-edge techniques that boost confidence and elevate your coding capability.

Learning objectives
Explain the principles of Test-Driven Development and show how AI tools can enhance and accelerate the testing process.
Implement unit and integration tests generated with AI using industry-standard JavaScript testing frameworks.
Construct a TDD workflow that effectively incorporates AI tools for building and refining automated tests.
Identify common challenges in AI-assisted TDD and apply strategies to address them.

Skills covered

Software TestingDevOps FoundationsProgramming FoundationsArtificial Intelligence FoundationsDevOpsArtificial Intelligence (AI)Software DevelopmentOne-Off

Concepts

0. Introduction

01 - Develop smarter with AI and test-driven development (TDD)

1. Introducing TDD and AI

02 - Why use TDD
03 - Using AI as your partner for testing
04 - Configuring your dev environment for TDD and AI

2. Generating and Running Tests with GitHub Copilot

05 - Building tests for TDD
06 - Generating tests with GitHub Copilot
07 - Enhancing test quality with GitHub Copilot
08 - Troubleshooting common challenges with AI

3. Creating Effective Prompts for TDD

09 - AI-driven prompts for smarter testing
10 - Creating context-rich prompts for better test results
11 - Customizing AI interactions for TDD
12 - Structuring AI prompts for TDD

4. Designing TDD Workflows with GitHub

13 - Crafting effective feature requests for testing
14 - Implementing TDD features based on requirements
15 - Measuring and improving test coverage
16 - Setting up GitHub Actions for automated testing