Certyn gives fast-moving teams a QA check for every release with real browser evidence before confidence turns into guesswork.
Certyn supports self-hosted runners today, but heavy WebGL and GPU-backed browser workloads are not supported yet. Here is what that means and what we plan to add.
A practical Certyn deployment model: post-deploy smoke as the gate, environment version updates for traceability, and App Explorer as a non-blocking default-environment follow-up.
We pointed our AI agent at Appetize.io to see if it could test a native mobile app. Spoiler: it worked.
A look at where Certyn is heading — native app testing, device clouds, Chrome extensions, and the bring-your-own-environment model.
Combine device emulation, network simulation, geolocation, timezones, and more to test realistic user conditions.
Use device emulation to test your web app on iPhone, iPad, Pixel, and Galaxy — without owning any of them.
Collect real browser performance metrics to catch slow pages, memory leaks, and layout thrashing before users do.
Catch contrast issues, invisible text, and broken themes by testing both color schemes automatically.
Use DOM inspection to extract element properties, computed styles, and HTML structure for precise debugging and validation.
Simulate real-world network conditions to test loading states, error handling, and offline behavior.
Override browser geolocation to test store locators, delivery zones, and region-gated content from anywhere.
Override the browser timezone to catch date/time display bugs, scheduling issues, and timezone conversion errors.
Use the accessibility tree to verify screen reader compatibility, ARIA labels, keyboard navigation, and semantic structure.
Use the Certyn browser extension to test, ask questions, and verify fixes directly from Linear, GitHub, Jira, and other tools.
When the explorer finds something suspicious, the bug reproducer agent automatically verifies it — turning hunches into confirmed bugs.
Let the AI explorer systematically navigate your app, discover flows, record memory, and surface issues you didn't think to test.
How to write test cases that AI agents can execute reliably — clear instructions, proper tagging, and lifecycle management.
Learn how Certyn organizes testing into processes — reusable, schedulable bundles that run smoke tests, regression suites, and exploratory sessions.
Block bad deploys automatically by adding Certyn quality gates to your GitHub Actions, GitLab CI, or any CI pipeline.
