After every run, a coordinated pipeline of specialized AI agents analyzes results, heals broken tests, guards against regressions, and surfaces gaps — automatically.
Specialized agents, not one big LLM trying to do everything.
Classifies each failure as Product Bug, Script Issue, Flaky, or Environment. Creates bug tracker entries for Product Bugs automatically.
Analyses last 5 run histories per test. If a test fails intermittently without code changes, it's flagged as flaky with a stability score.
Compares this run's pass/fail pattern to the previous run. Alerts when tests that previously passed now fail — even subtly.
Cross-references your KB against existing test IDs. Lists KB scenarios with no corresponding test case and offers to generate them.
When a locator consistently fails, re-discovers the element from the live DOM and queues a healing patch for human approval.
The generation pipeline: crawl live DOM, write test docs, review them, generate scripts, review scripts. Five agents, zero hallucinations.
Agents run post-suite so you wake up to analysis, not raw logs.