AI debugging, root cause analysis, and predictive maintenance for your test suite.
Euriqa's AI analyzes test failures alongside traces, DOM snapshots, screenshots, and network logs to identify the root cause of failures. Instead of reading through stack traces and CI logs manually, the AI surfaces the most likely cause and provides actionable context to help you fix the issue faster.
When tests fail, Euriqa automatically correlates the failure with recent code changes, CI environment differences, and historical patterns. The AI identifies whether a failure is caused by a code change, an infrastructure issue, a test environment problem, or a flaky test — and provides evidence for each conclusion.
Beyond identifying the root cause, Euriqa's AI provides code-level fix recommendations. These suggestions are based on the failure analysis, similar patterns from your test suite, and best practices for test stability. Fix suggestions include specific file and line references, making it easy to implement the recommended change.
Instead of waiting for tests to become flaky, Euriqa's AI predicts which tests are likely to become unreliable. By analyzing execution patterns, timing variability, and environmental factors, predictive flakiness flags at-risk tests so you can stabilize them before they start blocking your pipeline.
When multiple tests fail, they often share the same root cause. Euriqa's AI automatically groups related failures together, so you can fix the underlying issue once instead of investigating each failure individually. Failure clustering analyzes error messages, stack traces, and failure timing to identify common causes.
Coming in Beta— AI-powered features are launching soon as part of Euriqa's platform expansion. AI test debugging and root cause analysis will be available on Pro plans and above. Predictive flakiness and failure clustering will be available on Startup and Enterprise plans. Sign up for early access at app.euriqa.dev.