QualGent
I built an AI agent that can do mobile app QA after working at Google for years and waiting weeks for QA results. It runs on real devices and uses an ensemble of agents (including computer use) to test like a human. Happy to answer questions and hope it helps app devs ship faster without bugs!
QualGent launched on December 16, 2025 with 296 votes, #71 of 11,628 launches that month and more than 95% of that year's launches.
In plain words
QualGent is an AI-powered QA testing platform designed for enterprise teams building mobile apps. Users describe tests in plain English or provide app context, and the system automatically generates and executes tests on iOS and Android devices or emulators. It handles regression testing, UI changes, and multi-app workflows with self-healing capabilities that adapt to app updates. The tool targets fast-moving development teams seeking to expand test coverage and accelerate release cycles without manual test creation.
written from the facts on this page · September 2026
From the sources
QualGent is the enterprise-grade AI QA agent that helps you test apps at the speed of thought. Describe tests in plain English or connect your app context. QualGent creates tests and runs them on emulators or real iOS/Android devices with self-healing reliability. It autonomously handles regressions, UI changes, and multi-app flows. Fast-moving teams that serve millions of users already use QualGent to 10x test coverage and ship high-quality releases faster, with confidence, every time.
QualGent is the quality flywheel for AI-built software. Every bug, fix, and test result makes the next release smarter. Every agent-generated change adds new states, flows, and regressions your team still has to verify. When apps generate content, layouts, and experiences dynamically, scripted tests miss what users actually see. A flow can work and still feel confusing, off-brand, awkward, unsafe, or wrong. Human judgment matters more than ever, but humans cannot manually inspect every AI-generated path. Agents can run more tests faster, but without real-world grounding and human calibration, speed does not equal trust. Bugs get fixed, tickets get closed, and the learning disappears instead…from qualgent.ai
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