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Test your app with AI, catch bugs before users do
TesterArmy is an AI agent that tests websites and mobile apps. It monitors production on a schedule and runs automatically on every GitHub Pull Request, delivering screenshots, recordings, and actionable bug reports. Describe tests in plain English. The agent handles login flows, OAuth, and OTPs, no scripts to write or maintain. We catch the regressions and UX issues that code review misses.
TesterArmy offers AI-powered end-to-end testing for web and mobile apps. It launches real browser-based tests described in plain English, returning screenshots, recordings, and bug reports without requiring test scripts.
Users create a project by providing a staging or production URL and describe what to test in natural language. An AI agent navigates the app like a human, performing actions such as clicking, typing, and handling authentication (OAuth/OTP). Tests can run on-demand, via webhooks, or integrated into CI pipelines; results include screenshots, recordings, and actionable bug reports accessible from a dashboard or PR checks. The service also supports production monitoring and continuous tests across web and mobile apps, with encrypted credentials and configurable integrations (GitHub App, CI/CD, Slack, Webhook).
Who it’s for: Teams and organizations building modern web applications who want AI-assisted, maintenance-free end-to-end testing without writing test scripts.
Customers: Novu, HireVoi.ce, CodeCrafts, Copyfy
Active product with pricing pages, testimonials, integrations (GitHub, Slack, Webhook), free trial and free test runs, multiple plan tiers indicating commercial traction.
Senior Software Engineer with passion to open source. Founder of TesterArmy
Co-founder & CEO of TesterArmy (YC P26). Previously worked on React Native infrastructure and open source at Callstack, including on-device LLMs.
Automated testing for web and mobile apps
TesterArmy is an AI agent that tests web and mobile applications by simulating user interactions without requiring test code or selectors. It produces screenshots, recordings, and bug reports by clicking, typing, and navigating through apps based on natural language descriptions.
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AI agents for E2E testing across mobile & web
Automated Multi-Modal Testing for Agents
