Simulating the 'Boomer' Persona
How we tuned the "Chaos Engine" to simulate low-patience, low-tech literacy users to find usability friction points.
Deep dives into AI agents, Vision-Language Models, and the future of autonomous quality assurance.
Traditional testing scripts are brittle because they rely on DOM IDs. We explain how we engineered a Multi-modal agent that "sees" intent rather than code structure.
How we tuned the "Chaos Engine" to simulate low-patience, low-tech literacy users to find usability friction points.
A step-by-step guide to setting up "Smoke Test" webhooks in GitHub Actions to block deploys when UX scores drop.
Why screenshots aren't enough. How we correlate visual failures with Network tab logs to find root causes instantly.
Developers stop trusting tests that flake. We analyze data from 1M test runs to show the true cost of pixel-perfect matching.
Release notes for Appev v2.0. Including the new Persona JSON config, frustration scores, and updated dashboard.
How safe is your input sanitation? We let our AI Agent loose on standard form fields to test for injection vulnerabilities.
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