Features
AI vision generates tests from plain English descriptions
Self-healing tests survive UI styling changes
Black-box testing (no source code, DOM, or internal APIs)
Visual regression testing with screenshot comparisons
Parallel test execution (up to 8 workers on Team, up to 10 in v2.0.0)
CI/CD integration with GitHub Actions, CLI, and Vitest
Slack and webhook notifications for test results
Test templates library (20+ pre-built flows)
Interactive test recorder (click-through recording)
Local result viewer with diffing and pass/fail trends
Team management with roles (Admin, Editor, Viewer)
Test history and analytics with pass/fail trends
Supports iframes, shadow DOM, OAuth flows, file uploads
Supports PDFs, LLM chatbots, and rich media content
Debugging with video replays and network logs
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training
