Most “AI + browser” setups still bolt MCP tools onto Playwright and hope for the best, so every click dumps full DOMs, accessibility trees, and logs into the model.
That burns tokens, collapses context, and makes long sessions unreliable.
Meanwhile, default Playwright reports start to struggle once you have more than a few dozen e2e tests, so teams drown in HTML reports and flaky failures instead of clear patterns.
The insights at https://testdino.com/blog/playwright-cli/ explores how Microsoft’s playwright-cli keeps browser state external, returns only compact element references and YAML flows, and works with normal npx playwright test plus smarter reporting, so both agents and humans stay fast, cost aware, and predictable.
That burns tokens, collapses context, and makes long sessions unreliable.
Meanwhile, default Playwright reports start to struggle once you have more than a few dozen e2e tests, so teams drown in HTML reports and flaky failures instead of clear patterns.
The insights at https://testdino.com/blog/playwright-cli/ explores how Microsoft’s playwright-cli keeps browser state external, returns only compact element references and YAML flows, and works with normal npx playwright test plus smarter reporting, so both agents and humans stay fast, cost aware, and predictable.