Spur
Test websites with natural language effortlessly
Spur is an AI QA tool that allows users to test websites using natural language, eliminating the need for complex test scripts. It offers reliable automated tests that adapt to UI changes, real-time playback for debugging, and powerful validations. Spur's AI-powered tests reduce manual testing time, improve software testing processes, and ensure the reliability of tests even with site changes. The tool is user-friendly, requires no coding skills, and supports API testing.
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Features
- Customized features tailored to team needs
- Reduced flakiness with AI models
- Write tests in natural language quickly
- Craft powerful validations easily
- Test actual user experience accurately
Advantages
- Eliminates the need for complex test scripts
- Reduces manual testing time significantly
- Improves software testing processes by over 60%
- Adapts to UI changes automatically
- Supports API testing for dynamic responses
Disadvantages
- May have limitations in supporting extremely complex use cases
- Relies heavily on natural language processing accuracy
- Potential learning curve for users unfamiliar with AI testing tools
Frequently Asked Questions
-
Q:What is the onboarding process?
A:Onboarding is simple, requiring only a public URL to start writing tests. The process involves understanding requirements in a call and setting up on the next call. -
Q:How does the Spur Agent work?
A:The Spur Agent is vision-first and multi-modal, not reliant on CSS selectors. This ensures reliable tests and reduces false-positives. -
Q:What kind of flows do you support?
A:Spur supports any action within the browser window, interacting like a human. It can handle complex use cases effectively. -
Q:Do I need to know how to code to use Spur?
A:No, Spur is a no-code test platform, allowing tests to be written in natural language by anyone, regardless of their role. -
Q:Can we test APIs through Spur?
A:Yes, Spur supports API testing, enabling users to call, store, and verify API responses, including dynamic ones.
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