AI Test Generation
Generate automated tests from natural language or product context. Describe the scenario you want to validate and Thunders turns it into an executable test. No scripts - no framework lock-in.
Why choose Thunders for AI Test Generation
Write tests in natural language
Describe the scenario you want to validate in natural language. Thunders turns it into an executable test with steps, assertions, and edge cases. No scripting, no framework setup.
Generate tests from URLs
Paste a URL and let Web Browse analyze the page. Thunders generates test cases based on what it finds: forms, flows, interactive elements, and expected behaviors.
Turn requirements into tests
Connect your Jira or Linear tickets and turn specifications into runnable test cases. Requirements become executable coverage. As specs evolve, tests can be updated or regenerated to stay aligned.
Generate tests from AI assistants
Use Claude, ChatGPT, Cursor, or any MCP-compatible AI assistant to create tests directly through Thunders MCP.
Update tests with Copilot
Modify, refine, or extend existing tests through a conversation with Thunders Copilot. Adjust steps, add validations, or rework scenarios without starting from scratch.
Generate tests for functional - accessibility - and SEO validation
Run the same test through different AI Personas to validate from multiple angles. One scenario, many perspectives: functional correctness, WCAG compliance, SEO best practices, and more.
AI Test Generation Use Cases
Paste a user story - specification - or description of expected behavior. Thunders generates a complete test scenario with steps and validations - ready to run.
Generate tests from product requirements or connected sources like tickets and documentation. As requirements evolve - tests can be updated or regenerated to stay aligned.
Protect critical workflows by generating tests for existing features. Run them continuously to catch regressions as the product evolves.
Describe what should be tested in natural language. Product managers - QA - and other team members can turn their knowledge into automated tests without writing code.
Frequently Asked Questions
What inputs can I use to generate tests?
You can generate tests from natural language prompts - URLs - connected requirements (like Jira tickets - Linear issues) - product documentation - or through AI assistants like Claude and ChatGPT via Thunders MCP. Each input type produces executable test cases with steps and validations.
Do I need coding skills to generate or edit tests?
No. Tests are created and modified using natural language. Anyone on your team - whether QA - product - or engineering - can describe a scenario and get a working test. For adjustments - Thunders Copilot lets you update existing tests without touching code.
How does Thunders handle changes in my application after tests are generated?
Generated tests are tied to intent - not to specific UI elements or selectors. When your application changes - tests can be updated through Copilot or regenerated from the same input. This keeps your test suite aligned with your product without manual maintenance.
What types of validation can AI-generated tests cover?
Beyond functional testing - you can run the same test through different AI Personas to validate for accessibility - SEO - security - and more. Each Persona checks the same scenario from a different angle.
