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Manta AI is an AI agent for autonomous web application testing.
A user reports repeated failures when using an AI agent (Hermes + Claude Code) for exploratory QA on a web app, citing DB errors, cache staleness, and infrastructure debugging. They seek advice on creating a reliable workflow with pre-checks, cache clearing, and limiting agent scope.
A developer shares their frustration with multi-agent coding setups where verifying the output of parallel PRs is impractical, and describes building an AI QA agent that uses a real browser (via Browserbase) to automatically click through preview deploys and fail PRs that don't work as expected.
Drizz, an AI agent for mobile/web app testing that uses plain English and visual understanding, is launching on Product Hunt after securing 14 pilot customers through cold outreach and referrals.
A developer connected Claude Code to an iPhone simulator and prompted it to 'test everything,' resulting in autonomous navigation, bug detection, and structured reporting, showcasing a shift from traditional test scripts to AI-driven intent-based testing.
Introducing the /goal feature of Claude Code, paired with the prompt "/goal all tests pass and lint is clean" to automate testing and linting, equivalent to a highly efficient QA engineer.