Auditable AI in QA: what Playwright MCP taught me about scaffolding tests that don't drift

Описание и применение

Автономные тесты, созданные с помощью Playwright и MCP, позволяют отслеживать автора, модель и запуск, уменьшая дрейф тестов.

Задача

Test suites drift over time, making it hard to attribute failures to code changes versus test changes.

Результат

The approach yields auditable tests that can be traced back to the engineer, the model, and the specific run, reducing drift and improving maintainability.

Рабочий процесс

• Define test intent in natural language
• MCP generates test code
• Scaffolder records model, run ID, and version
• Run tests with Playwright
• Audit test provenance

Доказательства

Auditable AI in QA: what Playwright MCP taught me about scaffolding tests that don't drift

Источник