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

Description and use

Tests generated with Playwright and MCP can be traced back to the engineer, model, and run, reducing drift.

Problem

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

Outcome

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

Workflow

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

Evidence

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

Source