π TECHNICAL DOCUMENT: Cypress Prompt β Natural Language Test Automation (2025)
1. OBJECTIVE
This document explains:
- What Cypress Prompt is and how NLP-based test automation works.
- How Cypress converts natural language β test execution.
- How to integrate it into our TypeScript + POM + SOLID Cypress framework.
- A complete example using your code.
- Comparison with Microsoft Playwright MCP Agent.
2. INTRODUCTION TO CYPRESS PROMPT (NLP)
π What is Cypress Prompt?
Cypress Prompt is a new feature (2024β2025) that allows engineers to write Cypress tests in natural language, for example:
cy.prompt([
"visit https://todomvc.com/examples/react/dist/",
'type "Daily Report" into the new todo field',
'type {enter} into the new todo field',
'verify "Daily Report" todo is created successfully',
])
Cypress will:
- Parse the natural language instructions
- Identify intents (visit, click, type, verify)
- Execute the steps automatically in the browser
- Generate a full run log in Cypress Cloud
- Optionally export code into traditional Cypress test syntax
π₯ Strengths
- Create tests extremely fast (up to 80% faster for simple flows)
- QA with basic English can participate
- Very useful for prototyping and rapid regression test creation
- Integrates directly into Cypress Cloud
β οΈ Limitations
- Not a replacement for real automation architecture
- Not suitable for highly dynamic or complex UI flows
- Not good for API tests or data-driven scenarios
- Requires strong English instruction clarity
- Should be paired with POM for maintainability
3. NLP WORKFLOW OF CYPRESS PROMPT
π§ 1. User writes test instructions in English
Example:
βvisit home page β add todo β verify new item existsβ
βοΈ 2. Cypress parses the instructions
- Detects action intent
- Extracts selector context
- Interprets entities (text input, button name, field)
π€ 3. Executes the test in the browser
- Timelines
- Snapshots
- Screenshots
- Logs
π§ͺ 4. (Optional) Export to real code
You can generate Cypress .cy.ts code from the executed actions.
4. INTEGRATING CYPRESS PROMPT INTO OUR TYPESCRIPT + SOLID FRAMEWORK
Below is your code, reorganized cleanly using common SDET design patterns.
4.1 BasePage (abstract class)
export abstract class BasePage {
abstract visit(): void;
protected find(selector: string) {
return cy.get(selector);
}
}
4.2 DashboardTodoPage
import { BasePage } from "./BasePage";
export class DashboardTodoPage extends BasePage {
visit(): void {
cy.visit("/");
}
loginWithPrompt() {
cy.prompt([
'visit https://todomvc.com/examples/react/dist/',
'type "Daily Report" into the new todo field',
'type {enter} into the new todo field',
'verify "Daily Report" todo is created successfully',
]);
}
}
4.3 Test spec
import { DashboardTodoPage } from "../pages/DashboardTodoPage";
describe("Create new todo app by prompt", () => {
const dashboard = new DashboardTodoPage();
it("create todo using cy prompt", () => {
dashboard.visit();
dashboard.loginWithPrompt();
});
});
4.4 cypress.config.ts
import { defineConfig } from 'cypress'
export default defineConfig({
e2e: {
baseUrl: 'https://todomvc.com/',
supportFile: 'cypress/support/e2e.ts',
specPattern: 'cypress/e2e/**/*.cy.{js,ts}',
env: {
CYPRESS_PROMPT_ENABLED: true,
},
experimentalPromptCommand: true,
},
projectId: '...',
})
5. CYPRESS CLOUD WORKFLOW (WITH PROMPT)
- Code pushed to GitHub
- GitHub Action triggers Cypress Cloud
- Tests run in real browsers
- Cypress Cloud processes NLP steps
- Cloud provides:
* screenshots
* video
* snapshots
* execution timeline
* AI-generated summary
6. WHEN TO USE CYPRESS PROMPT
β Ideal use cases:
- Quickly validating new features
- Creating UI tests rapidly
- Helping manual testers write automation
- Rapid prototyping
- Simple end-to-end flows
β Not recommended for:
- Complex UI with dynamic selectors
- Large-scale regression suites
- API chained tests
- Data-driven scenarios
- Performance, security, or load testing
- Scenarios requiring high stability & consistency
7. CYPRESS PROMPT vs PLAYWRIGHT MCP AGENT (2025)
π― Overview
Playwright MCP Agent (Microsoft AI Agent) is a significantly more advanced AI automation model compared to Cypress Prompt.
| Capability | Cypress Prompt | Playwright MCP Agent |
|---|---|---|
| NLP quality | Good | Excellent (Azure AI + MCP) |
| Code generation | Medium | Extremely strong |
| AI Decision Making | Basic | Multi-agent reasoning |
| Selector engine | Medium | Best in class (AI Locator 2.0) |
| API support | Weak | Strong |
| Parallel execution | Good | Enterprise-grade |
| Cross-browser | Yes | Yes (better) |
| Convert NLP β code | Yes | Yes (much better) |
| Designed for | Rapid test creation | Enterprise AI automation |
| Multi-step chaining | Limited | Strong (agent-to-agent reasoning) |
| Error recovery | Weak | Advanced self-healing |
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