What is Skylight?
Leverage AI agents that interact with web applications visually, mimicking real user behavior to identify bugs before customers encounter them. This approach allows for the creation of tests using plain English commands, significantly reducing manual quality assurance costs and enabling teams to deploy new features with greater confidence. The system focuses on testing actual user flows, ensuring resilience against underlying code modifications.
The platform offers robust capabilities including real-time monitoring of agent actions within live browsers and reliable handling of complex authentication processes across multiple tests. It supports both simple and intricate browser tasks through agentic interactions. Test creation is simplified through natural language processing, where the AI interprets user intent, saving development time. Users can preview AI actions step-by-step via interactive live debugging, allowing for immediate refinement and validation. Additional functionalities include scalable execution in isolated environments, session recordings for debugging failures, and easily shareable reports for team collaboration.
Features
- AI-Powered Test Creation: Build tests by describing steps in plain English, allowing the AI agent to understand intent.
- Interactive Live Debugging: Preview AI actions step-by-step in a live browser, approving or refining on the fly.
- Robust Visual Navigation: AI navigates visually like a human, reducing test fragility caused by UI changes and avoiding CSS/XPath selectors.
- Flexible Interaction Steps: Automate a wide range of browser interactions, from simple clicks and typing to complex agentic tasks.
- Powerful Verification Logic: Assert application states, check element properties, and validate complex logic within tests.
- Scalable Execution: Run tests reliably in isolated Chrome instances, suitable for large-scale testing.
- Session Recordings: Replay test executions frame-by-frame to easily identify and debug failures.
- Shareable Reports: Distribute test results and video recordings efficiently within your team.
- Robust Auth Handling: Manage complex login scenarios reliably across different test runs.
- Live Test Monitoring: Observe the actions of the AI agents in real-time browser sessions.
Use Cases
- Automating regression testing for web applications.
- Performing end-to-end user journey validation.
- Identifying UI and functional bugs before production deployment.
- Reducing reliance on manual QA processes and associated costs.
- Creating stable automated tests resilient to minor code changes.
- Integrating automated visual testing into CI/CD pipelines.
- Building test scenarios using natural language for faster development.
- Simulating thousands of user interactions to stress-test applications.
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