Browser-based QA testing for AI-built software. Agents open real browsers (via Selenium), navigate pages, fill forms, click buttons, and report findings. Two modes: targeted tests (30-90s) and full-site discovery scans (3-15min).
Enables automated QA testing by running a pipeline of AI agents that generate test scenarios, architect test layers, write Playwright tests, and review code, all grounded in feature requirements and API contracts.
Enables AI to perform real-browser QA testing on websites via Playwright, finding bugs, accessibility, SEO, and performance issues through natural language conversations.
Autonomous QA testing MCP server that analyzes, fixes, and learns from test failures. Integrates with IDE and Slack to provide cause and fix in plain language.