Summary & Key Takeaways ​

• AI coding tools can generate Cypress tests, but often produce tests that don't follow best practices.
• Common issues include using CSS class selectors instead of data-cy attributes, cy.wait(3000) instead of network aliases, and ignoring custom commands.
• Cypress AI Skills aim to solve this by providing a mechanism to guide AI assistants.
• The goal is to ensure AI-generated tests are high-quality, maintainable, and align with team standards.

Our Commentary ​

This is a smart move from Cypress. We've all experienced the frustration of AI-generated code that "works" but is far from ideal. The idea of "AI Skills" to guide LLMs towards best practices in testing is exactly what's needed. It acknowledges that raw AI output often lacks the nuanced understanding of domain-specific conventions. By providing a structured way to inject these best practices, Cypress is making AI assistants genuinely more useful for test automation, rather than just a novelty. This will save developers a lot of refactoring time and help maintain test suite quality.