From Prompts to Production: What Teams Are Discovering with cy.prompt()

The blog post by Jenna Beckett discusses the adoption and benefits of cy.prompt(), a feature in Cypress that allows for natural language test authoring, which integrates seamlessly into existing Cypress workflows. Teams have found that cy.prompt() not only saves time but also fits naturally into their testing processes by allowing for command chaining and compatibility with Shadow DOM elements. It supports workflows that either maintain prompts for self-healing tests or eject code for predictable, version-controlled tests. The feature requires Cypress Cloud and version 15.4.0 or newer, currently supporting end-to-end tests on Chromium-based browsers. The initial test run is slower as it translates natural language into Cypress commands, but subsequent runs are faster due to caching. Self-healing applies when prompts remain in tests, allowing Cypress to regenerate commands if a cached selector fails. The blog also provides guidance on handling dynamic data with placeholders, best practices for writing effective steps, and using cy.prompt() in advanced scenarios like cross-origin flows and custom commands. While the feature is optimized for English and does not currently support certain APIs or elements, future usage limits and pricing will be determined based on feedback to ensure accessibility. Security is maintained as inputs and outputs are session-bound and not used for training external models, and organizations have the option to disable AI features if desired.

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