AI exploratory testing: treat every finding as a lead
An AI explorer drives a browser and reports what looks wrong. How to turn its reports into confirmed bugs, and how Sybqa decides which AI flags count.
Blog
Each post opens with a short answer, then explains it and links the guide or comparison that covers the topic in full. Posts describe Sybqa’s own rules and checks and cite a dated primary source for anything else.
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What a website check covers, and where each kind of test fits.
An AI explorer drives a browser and reports what looks wrong. How to turn its reports into confirmed bugs, and how Sybqa decides which AI flags count.
Test a Next.js app in three layers: unit tests for logic, end-to-end tests on a production build, then a check of the deployed preview URL.
Website QA means checking a site’s key journeys, content and layouts in real browsers, with evidence for what passed, failed or could not be checked.
Reading results, open checks and retesting a fix.
A blocked or not-run check tells you nothing about that part of your site. Why Sybqa never counts one as passed, and what to do with each open check.
After your AI builder fixes a bug, re-run the check that failed at the same URL, screen size and starting state. How to retest with no test code.
The rules behind Sybqa’s pages, comparisons and checks.
How Sybqa writes comparisons: dated public sources, mostly the other product’s own pages, when the other tool fits better, and the claims we never make.