Features
Autonomous mobile test generation from natural language
Execution on 150+ real Android and iOS devices
Real-time pass/fail metrics and root cause analysis
Cross-platform comparison (iOS vs Android)
App health monitoring (memory, CPU, startup time, FPS)
Self-healing broken tests
Deep failure visibility with logs, videos, traces
CI/CD integration (GitHub, GitLab, BitBucket, Azure DevOps)
Mock data and authentication handling (OTPs, credentials, APIs)
Automated test scheduling
No-code test creation via natural language
Multi-framework support (Appium, Maestro)
Intelligent reporting and Slack alerts
Deterministic test generation (no AI hallucinations)
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
