About Us
Built for Playwright engineers
TestDino is a Playwright cloud companion. It records CI runs, detects flakes, and keeps traces and fix workflows ready for teams and AI agents over MCP.
What is TestDino?
At TestDino, we help QA engineers, developers, product teams, and their AI agents make sense of every Playwright CI run. Whether you're a growing startup running hundreds of tests or an enterprise managing thousands, we built TestDino to answer the question every team asks after a test run:
"What does this actually mean, and what should we do about it?"
We believe test results should be clear, not cryptic. Teams shouldn't spend hours decoding failures or sitting in triage meetings trying to figure out if something is actually broken.
TestDino records your Playwright CI runs as they happen, groups failures by root cause, and flags flaky tests automatically. You see what broke, why it broke, and whether it matters, without reading raw CI logs line by line.
Working with TestDino: QAs get instant classification and trend detection. Developers get actionable insights without log-diving. Product managers get the confidence to make release decisions. AI agents get every run, failure and fix workflow over MCP.
Everyone sees the same data in one shared Dashboard, Test Explorer and custom Analytics views.
TestDino was born from a simple idea: the hours teams spend decoding flaky failures should turn into minutes of clear answers, for people and for the AI agents that now write most of the tests.
Why teams choose TestDino
Built for Playwright teams who need clarity, speed, and confidence in every release.
80% Faster Fixes
AI surfaces why a test failed immediately – so you get ~2 more coding days each sprint.
Get Zero Flaky
No more false alarms – trust your pipeline and keep momentum unbroken.
2x Release Speed
Collaborative features and integrations that scale with your team.
FAQs
QA engineers, developers, product teams, and AI agents running Playwright in CI. Growing startups with hundreds of tests and enterprises managing thousands across many environments both use the same platform.