TestMu AI introduces its agentic testing life cycle framework
The QE loop verifies AI agents through six phases, using observed evidence rather than self-reported data to measure quality and assurance gaps.
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AI-native software testing and quality engineering platform
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In short: TestMu AI became a Gartner MQ Leader and expanded Agent Assurance, Test Manager, and KaneAI.
The QE loop verifies AI agents through six phases, using observed evidence rather than self-reported data to measure quality and assurance gaps.
The tool verifies agent actions against observed evidence like file changes and API calls rather than self-reported transcripts to ensure safe deployment.
It ingests product specs, designs tests bound to acceptance criteria, runs them, and seals evidence packs.
KaneAI gets a new Test Run instance view, SmartUI adds A/B baselines, and Real Devices gain custom clocks and live app profiling. App Automation, Test Manager, and Insights also receive updates.
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