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A deep dive into our semantic understanding approach, auto-healing selectors, and how we achieve 99.9% reliability without hardcoded paths.
Traditional end-to-end testing frameworks like Selenium, Cypress, and Playwright require developers to write explicit test scripts with hardcoded selectors. Every time a class name changes, a button moves, or a form field is renamed, tests break and require manual updates.
Rihario takes a fundamentally different approach. Instead of relying on brittle CSS selectors, our AI agent understands your application the way a human would—visually and semantically.
Our AI sees your app as a rendered page, identifying buttons, forms, and interactive elements by their appearance.
Natural language understanding lets the AI know that "Submit", "Send", and "Continue" buttons serve similar purposes.
When elements move or change, the AI adapts automatically—no selector updates needed.
Just provide a URL. No test scripts to write, no selectors to maintain, no learning curve.
Rihario combines multiple AI models with real browser automation to deliver reliable, intelligent testing.
Playwright-powered real browser instances (Chrome, Firefox, Safari) capture screenshots and execute actions.
Multi-modal AI analyzes screenshots to understand page structure, identify interactive elements, and detect visual anomalies.
LLM-powered decision making determines optimal exploration paths and simulates real user behavior patterns.
Automated detection of broken links, console errors, visual bugs, accessibility issues, and behavioral anomalies.
Run your first test in under 2 minutes. No signup required.