TesterArmy provides AI-powered QA agents that test web and mobile applications like real users, replacing brittle test scripts with natural-language instructions. The platform runs journey-level tests on every pull request, catching regressions across signup, billing, and dashboard flows before they reach customers. It integrates with GitHub, Vercel, and webhooks, delivering recordings, screenshots, and step-by-step bug reports directly in the PR queue.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional QA testing forces teams to choose between slow manual testing and brittle automated test scripts that break whenever the UI changes. Standard tests miss journey-level bugs that occur across integrated systems like auth providers, payment processors, and webhook handlers, leaving customers to discover broken flows in production.
Solution
TesterArmy replaces brittle test scripts with AI agents that test web and mobile apps the way real users do—clicking, typing, and verifying flows described in plain language. The platform runs continuous, journey-level QA on every pull request, covering critical flows like signup, billing, and dashboards across multiple viewports and auth states. When a journey breaks, TesterArmy provides full browser session recordings, step-by-step pass/fail breakdowns, screenshots at key moments, and clear bug reports posted directly to the pull request. The system maintains persistent memory across runs, learns from past sessions, and uses visual understanding to catch layout shifts and rendering issues that traditional tests miss.
Target Audience
Primary customers are software engineering teams at SaaS companies, ecommerce businesses, and web/mobile app developers who need to ship fast without breaking production. The platform serves teams using modern frameworks like Next.js, React, Vue, and WordPress, as well as React Native and Expo mobile app developers.
Features
- Natural-language test creation with no DSL, SDK, or test scripts required
- AI agents with visual understanding that see pages like real users and catch layout shifts and rendering issues
- Persistent memory that learns from past runs and remembers context across sessions
- Per-regression evidence including full browser session recordings, step-by-step traces, screenshots, and PR comments with GitHub check status
- Integration with GitHub App, Vercel preview deployments, webhooks, and any CI pipeline
- Support for any web framework including Next.js, React, Vue, and WordPress, plus mobile and Expo app testing
- Production monitoring with scheduled cron runs as a safety net
- Optimized for QA with hundreds of evals to catch real regressions while minimizing false alarms