Scaling Mobile UI Testing with AI
Article Summary
Trendyol scaled from 4,869 to 10,400 UI tests in under a year — while keeping execution under one hour. Here's how AI became their test generation engine.
Trendyol's mobile team built a complete AI-powered testing workflow that generates smoke tests, regression tests, and analytics validation across five regions. They integrated AI with Maestro (Android) and XCUITest (iOS), using structured prompts and MCPs to make test generation reliable and maintainable.
Key Takeaways
- 114% test growth in one year, maintaining 96.6% stability across all releases
- AI generates tests from UI hierarchy captures using structured scripts and rule documents
- Maestro MCP enables AI to debug tests on live devices and fix failures automatically
- Every test runs in 5 regions (TR, SA, UAE, RO, AZ) with automated localization
- AI scores Jira tasks and generates event tests for analytics validation
Critical Insight
Trendyol doubled their UI test coverage in under a year by combining consistent project structure, custom tooling, and AI workflows that generate and maintain tests across platforms and regions.
