What you'll learn

Software teams often spend excessive time writing and maintaining tests, debugging failures, and manually enforcing quality, leading to slower releases and more escaped defects. In this course, Claude Code Testing and Debugging, you’ll gain the ability to integrate Claude Code as a powerful ally across your testing and debugging workflows. First, you’ll explore how to generate comprehensive test suites, including edge cases, mocks, and test-first specifications and align them with your project’s frameworks and conventions. Next, you’ll discover iterative debugging and performance optimization techniques that use Claude Code to interpret errors, trace multi-step causal chains, and propose safe, trade-off-aware fixes. Finally, you’ll learn how to identify and mitigate common AI-introduced errors, enforce quality gates, and automate test execution and failure analysis within CI/CD pipelines. When you’re finished with this course, you’ll have the skills and knowledge of AI-augmented testing and debugging needed to accelerate delivery, improve code quality, and maintain the critical human oversight that keeps your systems reliable.