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All week long, we're providing you with low-effort, high-impact tools and guidance to get your app on the fast track to better performance. We help you lay the foundation and then dive deeper into helping your app become a better version of itself.
After a year of effort, I finally achieved 0% ANR in Respawn. Here's a complete guide on how I did it.
In 2025, AI became our star driver. After years of building the infrastructure — Mercury for test and release management, Helios for VM orchestration
Describes how Uber improved mobile monitoring by unifying analytics across iOS and Android. The team standardized event instrumentation, collected consistent metadata, and provided sampled event coverage to ensure better insight into user interactions and app health. This streamlined performance monitoring and data quality across platforms.
Explains new Android Vitals wake-lock signal, how to detect & fix excessive partial wake locks to reduce battery drain.
How Meta uses Baseline Profiles to speed cold start, scrolling, and navigation; reports up to 40% improvements.
Tradeoffs & best practices for FlowRow/FlowColumn; tips to keep layouts performant.
In the first post in this series Benoit Sarrazin discussed the adoption of The Composable Architecture in our iOS app. He covered the reasons for this change, the benefits it brought, and the challenges we faced.
Opinionated guide to avoiding unnecessary recomposition; derivedStateOf, keys, etc.
Enterprise Compose pitfalls (state hoisting, keys, compiler reports) with fixes.
Clear deep-dive on Zygote preload/fork pipeline and its startup/perf impact.
Flow cancellation patterns (timeout, takeWhile, cancellable, first) & perf notes.
Reddit Mobile CI overhaul: up to 50% faster build times, improved stability and developer sentiment; details on infra choices and trade-offs. (Reddit)
Compose 1.9: improved list prefetching & cache window APIs, visibility callbacks—noticeable scroll/UI performance gains.
WhatsApp/Messenger moved key models on-device; reduced model load & inference time and improved ANR metrics. (Engineering at Meta)
ExecuTorch rollout across Instagram/WhatsApp/Messenger/Facebook improved latency and reliability; WhatsApp reports reduced model load/inference time and lower ANR metrics; several features moved on-device for performance/privacy. (Engineering at Meta)
TikTok’s real-world WebView perf wins: preloading, cache strategy, threading & metrics.
Guardsquare’s CPO shows how profile-based config can improve perf & security together. (droidcon, droidcon nyc 2025)
How to roll out JankStats across large fleets; sampling, thresholds & dashboards. (droidcon)
Case study + note that ADPF is broadly available (Unity/Unreal/Cocos/native) to tune thermal/perf. Last updated Jul 9. (Android Developers)