Explore 400 articles on Android performance

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Showing 20 of 400 articles (Page 2 of 20)

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Accelerating our Android apps with Baseline Profiles

How Meta uses Baseline Profiles to speed cold start, scrolling, and navigation; reports up to 40% improvements.

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Flow Layouts in Compose

Tradeoffs & best practices for FlowRow/FlowColumn; tips to keep layouts performant.

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Optimize your app battery using Android vitals wake lock metric

How to detect/debug excessive partial wake locks in Play Console

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The evolution of native engineering at Tripadvisor: Part 2

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.

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Recomposition Is Not a Bug — You Are

Opinionated guide to avoiding unnecessary recomposition; derivedStateOf, keys, etc.

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Top 10 Compose Mistakes in Large-Scale Apps

Enterprise Compose pitfalls (state hoisting, keys, compiler reports) with fixes.

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From Biology to Code: How Android’s Zygote Enables Fast and Efficient App Launching

Clear deep-dive on Zygote preload/fork pipeline and its startup/perf impact.

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Cancellable Flows in Kotlin Coroutines: The Complete Guide

Flow cancellation patterns (timeout, takeWhile, cancellable, first) & perf notes.

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Our Buildkite Brings All the Devs to the Yard: (Re)Building Reddit Mobile CI in 2025

Reddit Mobile CI overhaul: up to 50% faster build times, improved stability and developer sentiment; details on infra choices and trade-offs. (Reddit)

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What’s new in the Jetpack Compose August ’25 release

Compose 1.9: improved list prefetching & cache window APIs, visibility callbacks—noticeable scroll/UI performance gains.

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Accelerating on-device ML on Meta’s apps with ExecuTorch

WhatsApp/Messenger moved key models on-device; reduced model load & inference time and improved ANR metrics. (Engineering at Meta)

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Accelerating on-device ML on Meta’s family of apps with ExecuTorch

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)

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Achieving native-like speed: boosting Android WebView performance by 100%+

TikTok’s real-world WebView perf wins: preloading, cache strategy, threading & metrics.

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Transforming App Security from Necessary Evil to Performance Advantage

Guardsquare’s CPO shows how profile-based config can improve perf & security together. (droidcon, droidcon nyc 2025)

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Tracking app responsiveness at scale using JankStats

How to roll out JankStats across large fleets; sampling, thresholds & dashboards. (droidcon)

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UNISOC uses ADPF to improve game performance

Case study + note that ADPF is broadly available (Unity/Unreal/Cocos/native) to tune thermal/perf. Last updated Jul 9. (Android Developers)

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The Hidden Performance Cost of Excessive Mobile Analytics

How over-instrumentation hurts startup, memory & battery; pragmatic sampling/SDK tips. (droidcon)

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How We Slashed Android Startup Time by 30% with Baseline Profiles

Nobody likes waiting, especially when opening an app. We noticed a clear trend: the faster our app started, the more users stuck around.

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How Dropbox leverages testing to maintain high level of trust at scale

With more than one billion downloads, the Dropbox app for Android has to maintain a high quality bar for a diverse set of use cases and users. With less than 30 Android engineers, manual testing and #yolo isn’t enough

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How to Reduce Android Studio Memory Usage

Android Studio is a powerful IDE, but it can be memory-hungry. A few tweaks can significantly improve performance and reduce excessive memory usage. Here I will maintain the original tips structure while diving deeper into why each optimization works and how to apply it.

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