Testing is the first thing developers skip when rushing. AI changes that. Learn how to write robust test suites 10x faster.
A dedicated deep-dive into AI-assisted software quality.
Learn the "Red-Green-Refactor-AI" loop. Write skeleton tests and let AI implement the logic while you verify.
AI excels at thinking of what you forgot. Discover off-by-one errors and null pointer exceptions before they hit production.
Stop struggling with factory bots and manual mocks. Generate realistic test data and service doubles in seconds.
The hardest part of legacy code is adding tests. Use AI to safely wrap existing code in unit tests without breaking it.
When a bug is found, use AI to generate a failing test case that perfectly reproduces the issue.
Avoid coverage theater. Use senior judgment to identify which 20% of tests provide 80% of the safety.
AI-generated tests are only as reliable as your review. We teach you how to treat AI as a junior developer who writes the boilerplate while you provide the senior-level verification and architectural oversight.
The mental models are framework-agnostic. Whether you use Vitest, Jest, PHPUnit, Pytest, or Cypress, the principles of AI-assisted TDD remain the same.
Yes. Most devs hate tests because they are tedious. AI handles the tedium—writing setups, mocks, and repetitions—allowing you to focus on the logical "what" and "why".
The testing frameworks you'll learn pay for themselves the first time you catch a production-breaking bug in your dev environment.
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