IntermediateSITUATIONAL
You discover intermittent memory growth and eventual OOMs when users scroll through a large RecyclerView that loads images — outline the steps you would take to reproduce the issue, diagnose root causes, and implement fixes while minimizing regressions.
Android Developer
General

Sample Answer

I’d start by reproducing the problem reliably across devices: automate a scrolling test (Monkey/espresso loop) on low- and mid-range phones and reproduce with a large dataset (500+ items). I’d attach Android Studio Memory Profiler and LeakCanary to capture heap growth and GC churn. In one past job we found Glide requests held references after onBind; I added logging and used onViewRecycled to clear/cancel loads and call Glide.with(view).clear(). I also downsampled images, enabled bitmap pooling, and switched a few expensive transformations to server-side versions. After changes I ran 1,000-scroll iterations and saw OOMs drop from 4 per 100 runs to 0, and memory steady-state fall by ~60%. I added regression tests and a CI memory threshold so we don’t regress.

Keywords

Reproduce deterministically with automated scrolling across device classesUse Memory Profiler and LeakCanary to find leaks and GC patternsCancel/clear image loads in onViewRecycled, downsample images, use pooling and cachesAdd regression tests and CI memory thresholds
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