TestRelic - Intelligence for AI-Speed Engineering
AI writes the code now. Your QA pipeline wasn't built for that. TestRelic connects every test failure to real user impact, explains root cause in plain English, and plugs into GitHub, Jira, and Amplitude β in minutes, not months. Book a slot and see why your current setup can't tell you what's actually broken.
π docs.testrelic.ai
15 min Β· TestRelic AI β Product Intro & Fit Check
Engineering teams ship fast, but the debug loop is still broken β scattered logs, manual root cause, and no visibility into real user impact.
TestRelic is the QA intelligence layer that connects your Playwright test failures to production signals, surfaces AI-powered root cause, and integrates with GitHub, Jira, and Amplitude.
In 15 minutes, we'll cover what TestRelic does, where it fits in your stack, and whether it's worth a deeper evaluation with your team.
No commitment. Just clarity.
- 15m
30 min - Full Cloud platform Demo - Ask AI + Playwright
Your Playwright tests are running. But when something breaks, you're still digging through raw logs, guessing root cause, and context-switching across tools.
This demo covers three things:
- Playwright Observability β every test run, browser log, network call, and failure trace in one place. See trends, flaky scores, and session replays without leaving the dashboard.
- Ask AI β type a question, get an answer. "What's been failing since yesterday's deploy?" or "Which tests are flaking most in the checkout flow?" No dashboards to build, no filters to configure.
- Integrations (Beta) β GitHub for commit-level context, Jira for auto-ticketing, and Amplitude to see which test failures are actually hitting real users. More integrations coming soon.
30 minutes. Live platform. No slides.
- 30m
30 min - Full Cloud platform Demo - Ask AI + Appium
Your Appium tests are running. But when something breaks, you're still digging through raw logs, guessing root cause, and context-switching across tools.
This demo covers three things:
- Appium Observability β every test run, device log, network call, and failure trace in one place. See trends, flaky scores, and session replays without leaving the dashboard.
- Ask AI β type a question, get an answer. "What's been failing since yesterday's deploy?" or "Which tests are flaking most in the checkout flow?" No dashboards to build, no filters to configure.
- Integrations (Beta) β GitHub for commit-level context, Jira for auto-ticketing, and Amplitude to see which test failures are actually hitting real users. More integrations coming soon.
30 minutes. Live platform. No slides.
- 30m