TestDino | Playwright Test Companion installs statistics

Scale Playwright testing with real-time analytics and act-capable AI agents.

• AI agents that act, not just answer, by filing tickets and running fix workflows directly from Cursor or Claude Code. • Live streaming shard progress and historical stability trends combined in one product. • Unified manual and automated test suites where AI agents can write and manage runs directly. • AI audits grounded in actual CI history instead of static code analysis guesses

TestDino - Playwright-Native AI Test Analytics

TestDino is a cloud companion for the Playwright testing framework. It records test runs from your continuous integration (CI) environment, providing centralized debugging, smart test orchestration, flaky test detection, and analytics.

AI writes more tests than ever. TestDino helps you scale them: cut CI time, catch flakes, and triage failures fast with every trace, video, and log ready for your AI agent to fix. Both teams and AI agents can access runs, failures, and fix workflows from Cursor or Claude Code over MCP and API.

Capabilities

• AI-Grounded Audits & Diagnostics: Analyzes CI history (top failing, flaky, and slow tests) to provide evidence-based recommendations instead of static code guesses. • Act-Capable AI Agents (MCP): Connects to MCP-compatible editors (Cursor, Claude Code) so AI agents can query suite health, trigger reruns, and manage runs. • Git-Aware Test Tracking: Links test runs to PRs, branches, and commits. Updates PR checks and posts automated AI diagnostics directly in PR comments. • Evidence-First Debugging: Surfaces traces, logs, screenshots, and videos with AI failure classification (Actual Bug, Flaky Test, UI Change) to speed up root-cause analysis. • Smart CI Orchestration: Run failed or flaky tests straight from the dashboard, API, or MCP, and optimize sharding and load balancing across CI machines. • Seamless Integrations: Create Jira, Linear, or Asana tickets with one click and send real-time Slack alerts for critical failures.

Benefits

• Scale with AI Code Generation: Confidently handle the massive volume of tests written by AI by automating the triage and fix loops. • Reduce Investigation Time: Save 6–8 developer hours weekly by eliminating manual test failure analysis. • Improve Test Reliability: Keep test suites healthy by spotting historical stability trends and flakiness across branches.