TestDino
Playwright test reporting and analytics for CI — AI failure classification and an MCP server for agents
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testdino.comAbout TestDino
TestDino is a reporting and analytics layer for Playwright test suites running in CI, and it is narrow on purpose. Rather than being another test runner, it consumes results from an existing Playwright setup and turns them into something a team can act on: multi-tab run reports with a summary and spec breakdown, a test explorer, per-pull-request views, analytics over time, test case management and a manual testing surface. Failures are the focus — the product exists because a red CI run in a large suite is usually a triage problem rather than a debugging problem, and TestDino ranks and classifies failures with AI so the genuinely broken tests are separable from flaky noise. The vendor's headline claim is 6 to 8 hours saved per engineer per week, which is a triage-time claim rather than a runtime one. Filtering runs by status, branch, environment and time period, with commit and author attribution on every run, is the day-to-day interface. Integrations cover GitHub on every tier and GitLab plus Slack notifications from Pro upward. The recently added MCP server is the part most relevant to agent workflows: it gives an AI coding agent direct context on which tests failed, on which branch, and how they have behaved historically — which is precisely the context an agent otherwise lacks when asked to fix a failing suite. Artifact storage and data retention scale by tier.
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Key Features
TestDino Pros & Cons
✅ Pros
- +Deliberately narrow — it does Playwright reporting rather than everything
- +The MCP server gives agents the failure history they normally cannot see
- +Free tier's 5,000 executions a month is genuinely usable on a small suite
⚠️ Cons
- −Playwright only, so a mixed-framework estate needs a second tool
- −14-day retention on Free is short for tracking flake trends
- −GitLab and Slack are held back to paid tiers
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