TestDino
TestDino is a cloud-based companion platform for Playwright that records CI test runs, streams results live, and automatically detects flaky tests with root cause categorization. It provides centralized debugging, analytics, and trace storage, making test data queryable for both human teams and AI agents via an MCP server and API. Setup takes under five minutes with a simple reporter package installation.
- Developer Tools
- Software Only
- Artificial Intelligence
- Data & Analytics
- AI Agents
Funding
Founders
Founder details are not available yet.
Product
Problem
Teams running Playwright test suites in CI often lack visibility into what is actually passing or failing in real time, and they struggle to identify which tests are flaky and why. This forces engineers to spend significant time sifting through logs and traces to debug failures, slowing down development cycles and eroding trust in the test suite.
Solution
TestDino is a cloud-based companion for Playwright that records CI test runs and provides a centralized platform for debugging, flake detection, and analytics. It streams results live as tests execute, giving teams immediate insight into test health, and automatically classifies each test with a stability percentage and root cause category such as timing, environment, or network. The platform stores full traces, screenshots, and videos, and makes all data queryable and actionable for both human teams and AI agents through an MCP server and API. By integrating with CI/CD pipelines, issue trackers, and communication tools, TestDino ensures that failures are automatically surfaced with full context, enabling faster fixes and reducing time spent on false failures. Setup takes under five minutes by installing the Playwright reporter package and adding a project token.
Target Audience
Primary customers are software engineering and QA teams using Playwright for end-to-end testing, particularly those running tests in CI environments who need better visibility, flake management, and AI-assisted debugging workflows.
Features
- Real-time streaming of test results with live worker status and pass/fail counts during CI runs
- Automatic flaky test detection with stability percentages and root cause categorization (timing, environment, network, assertion, or other)
- MCP server that allows AI agents to query test results, debug failures, and manage test cases directly from IDEs
- Pre-built integrations with GitHub, GitLab, Azure DevOps, Jira, Linear, Asana, Slack, and monday.com for automated summaries, issue creation, and alerts
- Native CI/CD plugins including a GitHub Action, CircleCI Orb, and TeamCity plugin for one-step report uploads
- Trace viewer with screenshots and videos for in-depth debugging of failed tests
- CI status checks on pull requests with configurable pass rate or flaky thresholds to block merges that don't meet quality bars
- Project access tokens for secure pipeline and integration access