TestDino is a reporting and analytics platform built specifically for Playwright. It takes your test results from CI or local runs, and turns them into clear, actionable insights. Your Dashboard shows what matters: QA engineers get pass/fail breakdowns and flaky test tracking, while developers see which tests broke after their commits. The Test Runs view gives you full history with traces, screenshots, videos, and console output attached to every execution. TestDino’s AI-driven analysis sorts your failures into four categories: actual bugs, UI changes, unstable tests, and setup issues. No more guessing why something failed. Each test gets a confidence score and recommended fix, so you know exactly where to focus. Pull Request tracking links test results directly to your commits. Branch mapping shows results by environment: production, staging, or development. The GitHub integration posts summaries right to your PRs, while CI Checks block merges when tests don’t meet your quality gates. The TestDino MCP Server connects your test history to AI assistants like Claude and Cursor: ask questions in plain English like “What failed yesterday?” or “Which tests are slowest?” and get answers pulled directly from your data. Track flaky rates, execution times, and pass/fail trends over time. The Specs Explorer shows which test files need attention, and error analytics group similar failures so you fix root causes, not symptoms. Teams using TestDino save 6-8 hours weekly on manual failure analysis.

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Estefania F.

Senior Software QA Engineer at Penpot by Kaleidos / ISTQB Certified

04/14/2026

Validated Reviewer

Verified Current User

Review source: Organic

TestDino Brings Clear Visibility to Slow and Flaky Playwright Tests

|TestDino

What I like most about TestDino is how it helps us gain visibility into our Playwright tests. We use it to identify which tests are the slowest, the most flaky, and the ones that fail most frequently, which is incredibly valuable for prioritizing improvements. We’ve inherited an existing project, and TestDino has been key in helping us take ownership of the test suite. It gives us the insights we need to understand the current state of the code and systematically improve its reliability and performance.

Sai Ram M.

03/20/2026

Validated Reviewer

Review source: Organic

Valuable Analytics with Room for UI Improvement

|TestDino

I find TestDino easy to use and it delivers valuable analytics right out of the box. It's a great tool for me, with the dashboard being clean and intuitive. The addition of Tensor SD has been a great boon to our Playwright testing workflow. The initial setup was good and not difficult at all. Overall, I would rate it a nine for sure in terms of recommending it to friends or colleagues.

Miranda G.

Quality Assurance Engineer | Web QA Specialist (Remote)

03/16/2026

Validated Reviewer

Review source: Organic

Clean, Flexible Testing with Clear Reporting and Dashboards

|TestDino

The interface is clean and easy to navigate, which makes getting started with test creation straightforward. I like the flexibility of having both visual workflows and code-based testing options. The reporting and dashboard are also clear, making it easy to review test results and understand failures quickly.

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What is TestDino?

TestDino is an AI-native, Playwright-focused test reporting and management platform with MCP support. It lets developers use Claude Code, Cursor, or other LLM tools to query reports, analyze flaky tests, compare runs, and manage test suites using natural language. Our native GitHub integration posts AI summaries directly to your PRs and commits, while CI Checks block merges when tests don’t meet your quality gates. Re-run only failing tests with a single command, cutting CI time and costs significantly. Pull Request tracking links every test run to its commit. Branch mapping organizes runs by environment. Role-specific dashboards show QAs flaky tests and failure patterns, while developers see exactly which tests their commits broke. Every test run comes with AI-driven failure classification with a confidence score and recommended fix. The Specs Explorer highlights which test files need attention, and error analytics group similar failures so you fix root causes instead of chasing individual symptoms. Connect Jira, Linear, Asana, or Slack to create bug reports with full context pre-filled.