Using Playwright With Cursor: Generate End-to-End (E2E) Tests From a User Story

The guide describes a workflow for generating and reviewing Playwright end-to-end tests in Cursor from well-defined user stories, using Playwright MCP to inspect a live application through accessibility snapshots and project rules to enforce testing conventions. It emphasizes that test quality depends primarily on clear, observable acceptance criteria, with one independent test per criterion and explicit assertions for expected headings, messages, quantities, or prices. Because MCP-generated interactions may use fragile positional locators and lacks built-in assertion tools, generated specs require review to replace waits and nth-based selectors with stable, scoped locators and web-first Playwright expectations. The workflow uses Cursor Plan mode to map criteria to tests before implementation, Agent mode to explore the browser and write code, and version-controlled MCP, rule, and optional skill files to standardize practices across a repository. It also explains that Playwright Test Agents do not currently integrate reliably with Cursor, while alternatives such as the Kane CLI can validate natural-language criteria. Finally, it shows how reviewed tests can run locally or on TestMu AI, where each acceptance criterion receives a separate cloud session, status, and diagnostic artifacts, enabling parallel execution and direct traceability from failed runs to requirements.

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