Cypress AI Skills: Teaching Your AI Assistant to Write Better Tests
The article discusses using AI tools like Cursor and Claude Code to write Cypress tests, and the limitations of the generic code they generate. It introduces 'Cypress AI Skills', which aims to teach the AI assistant how the team writes tests, allowing it to generate more aligned and maintainable code.
Why it matters
Cypress AI Skills can help teams save time and effort by generating Cypress tests that are aligned with their project's conventions and patterns, reducing the need for manual rewriting.
Key Points
- 1AI tools can generate Cypress tests, but the output is often generic and not aligned with the project's conventions
- 2Cypress AI Skills introduces the concept of 'skills' that live within the project, allowing the AI to understand the codebase and write better tests
- 3The 'cypress-author' skill enables the AI to generate tests using existing custom commands and data-cy selectors
Details
The article explains that most AI tools are good at generating code, but they don't understand the codebase they're working with. This leads to generic output that doesn't match the project's conventions and patterns. Cypress AI Skills aims to address this by teaching the AI assistant how the team writes tests. The 'skills' are stored within the project, allowing the AI to read the existing code, configuration, and custom commands, and use that context to generate more aligned and maintainable test code. The 'cypress-author' skill is highlighted, which enables the AI to create login tests using the project's existing custom commands and data-cy selectors, rather than relying on generic CSS selectors and arbitrary waits.
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