
AI-powered mobile testing framework enables authoring and executing tests using natural language, supports on-device execution, offers custom agent tools, and provides detailed reporting with Maestro integration.
Trailblaze is an AI-powered UI testing framework that lets you author and execute tests using natural language.
Trailblaze enables adoption of AI powered tests in regular Android on-device instrumentation tests. This allows leveraging existing execution environments and reporting systems, providing a path to gradually adopt AI-driven tests at scale.
Because Trailblaze uses Maestro Command Models for UI interactions it enables a longer term vision of cross-platform ui testing while reusing the same authoring, agent and reporting capabilities.
TrailblazeTools to the agentTrailblaze implements cutting-edge features from Mobile-Agent-v3 research:
| Feature | Description |
|---|---|
| Exception Handling | Automatically handles popups, ads, loading states, and errors |
| Reflection & Self-Correction | Detects stuck states and loops, backtracks when needed |
| Task Decomposition | Breaks complex objectives into manageable subtasks |
| Cross-App Memory | Remembers information across app switches for complex workflows |
| Enhanced Recording | Captures pre/post conditions for more robust replay |
| Progress Reporting | Real-time MCP progress events for IDE integrations |
Trailblaze's unique "blaze once, trail forever" workflow:
┌─────────────────────────────────────────────────────────────┐
│ First Run: BLAZE │
│ AI explores → Records actions → Generates .trail.yaml │
└──────────────────────────┬──────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Future Runs: TRAIL │
│ Replay recordings → Zero LLM cost → Fast CI/CD execution │
└─────────────────────────────────────────────────────────────┘
See Mobile-Agent-v3 Features Guide for detailed usage examples.
Trailblaze is an AI-powered UI testing framework that lets you author and execute tests using natural language.
Trailblaze enables adoption of AI powered tests in regular Android on-device instrumentation tests. This allows leveraging existing execution environments and reporting systems, providing a path to gradually adopt AI-driven tests at scale.
Because Trailblaze uses Maestro Command Models for UI interactions it enables a longer term vision of cross-platform ui testing while reusing the same authoring, agent and reporting capabilities.
TrailblazeTools to the agentTrailblaze implements cutting-edge features from Mobile-Agent-v3 research:
| Feature | Description |
|---|---|
| Exception Handling | Automatically handles popups, ads, loading states, and errors |
| Reflection & Self-Correction | Detects stuck states and loops, backtracks when needed |
| Task Decomposition | Breaks complex objectives into manageable subtasks |
| Cross-App Memory | Remembers information across app switches for complex workflows |
| Enhanced Recording | Captures pre/post conditions for more robust replay |
| Progress Reporting | Real-time MCP progress events for IDE integrations |
Trailblaze's unique "blaze once, trail forever" workflow:
┌─────────────────────────────────────────────────────────────┐
│ First Run: BLAZE │
│ AI explores → Records actions → Generates .trail.yaml │
└──────────────────────────┬──────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Future Runs: TRAIL │
│ Replay recordings → Zero LLM cost → Fast CI/CD execution │
└─────────────────────────────────────────────────────────────┘
See Mobile-Agent-v3 Features Guide for detailed usage examples.