TestDino is highly praised for its Playwright-focused reporting capabilities, offering seamless CI/CD integration and AI-driven insights that enhance test automation efficiency. Users appreciate its compatibility with GitHub Actions and local setups, as well as its clear documentation. The platform's ability to classify failures and provide detailed historical data aids in improving test reliability. TestDino is particularly valued by Playwright users for its intuitive interface and actionable intelligence, making it a strong choice for teams seeking to streamline their testing processes.
cool dashboard, specifically the role based views are awesome. This may definitely bring transparency to engineering teams.
Exactly the pain point we wanted to solve! @sagar_karathiya
The dashboards automatically surface what's most relevant for each role --
QAs get test stability trends
Developers see specific failure details
Managers will get high-level metrics
🦕It's smart enough to adapt without needing manual configuration.
How do you treat retries. Do you count a passed-on-retry as flaky by default, and can teams configure thresholds per suite or folder?
Looks nice do you provide custom lables? If my qa team override a lable from flaky. Bug does that feedback retain the model for you project? If yes , how long until we see improved predictions.
Love the confidence scores idea. could you explain in detail what factors are considered (timing, retries, assertions)?
also, can a user click to drill down and see why a test was tagged flaky vs bug?
@viraj_limbadia The score looks at the error type and message, retry pattern, timing signals, and how similar failures behaved in past runs. We also consider basic context like environment and branch. You can click into a test to see the label, the short “why failing” note, steps, logs and the screenshot. If it looks off, you can override it and we learn from that.
@pratikpatel01 is SSO on roadmap? okta + google auth would be huge
@pratikpatel01 do you provide an API/webhook for run completion events? we want to plug insights into our custom dashboards.
🚀 Huge congrats on the launch, @pratikpatel01 ! TestDino looks like a real productivity boost for QA and dev teams. Flaky tests and CI failures are such a pain, and I love how you’re using AI + ML to give actionable insights instead of just logs. The Jira/Slack integrations are super practical too 👌
Quick question - does TestDino also help prioritize flaky tests based on frequency or impact? That would be a real game-changer. Wishing you and the team massive success with this launch! 🦕🎉