The Era of AI Agents for Device Control: Challenges in Android UI/E2E Testing Using mobile-mcp
summary
A production setup for handing Android devices to AI agents is described, using mobile-mcp plus direct ADB commands to run UI/e2e tests. A live demo with Codex 5.6 creates a music score by inputting notes via custom coordinate gestures, takes screenshots, and reports success; four approaches are detailed: screen identification via map/reference files, state reproduction by generated ADB commands, success verification using screenshots/history, and automated maintenance of reference files. The system finds real bugs but is currently slower, more costly, and more error-prone than ideal for final acceptance.
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chapters (14)
- 0:00Introduction
- 1:32AI agent demo
- 5:50AI for device testing
- 7:56AI for bug investigation
- 10:11Screenshots and assets
- 11:17AI agent limits
- 14:15Mobile-MCP and tools
- 19:55Tool comparison
- 20:19UI info transfer
- 23:53Reference file automation
- 26:47Writing clear code
- 28:54Screen state for AI
- 30:19Command tool efficiency
- 32:47Summary
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