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Endigest AI Core Summary
Grab's engineering team developed AutoTrack SDK to automatically capture complete user journeys in the Grab mobile app, eliminating gaps caused by manual event instrumentation.
•AutoTrack is built on three pillars: application state tracking, user interactions, and UI screen monitoring
•Application state tracking covers lifecycle transitions (background, foreground, inactive, suspended, terminated) and launch mechanisms including deeplinks and push notifications
•UI screen tracking uses lifecycle events from UIViewController (iOS) and Activity/Fragments (Android) to identify the currently displayed screen
•Screen hierarchy JSON data is captured on each screen appearance and used to train an AI model that generates an HTML mirror of the user's screen and interactions
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Key applications include reproducing elusive bugs, automated issue assignment, UI test case generation, and analytics event trigger validation
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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