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AI prompts in Automation Testing

AI prompts in Automation Testing

AI Automation prompts in Testing

AI is entering the world of software testing, and many teams are curious about how it works.

One option is using MCP agents, which let AI models talk to browsers and create tests on demand. Sounds smart, right? But the challenge is that they often feel slow, sometimes create “one-off” steps that don’t last, and tests can easily break when the app changes. This makes it hard for teams who need stable and repeatable results every day.

Cypress took a different approach with cy.prompt(). Instead of being an outside helper, it’s built directly into the test runner.

You just write your test idea in plain English, and Cypress converts it into real commands, saves them, and even updates them if your app changes. You can see every step clearly in the command log, which makes debugging far easier. This approach not only speeds up testing but also allows non-technical team members to get involved in creating tests.

🔑 Key Takeaways

  • MCP agents are flexible but often slow, unreliable, and hard to debug.

  • cy.prompt() is built inside Cypress, so it’s faster and more stable.

  • You can describe tests in plain English, and Cypress turns them into reusable commands.

  • Built-in self-healing means tests stay stable even if the app changes.

  • Every action shows in the Command Log, making debugging transparent.

  • Encourages collaboration — even non-coders can take part in test creation.