Explore 914 articles on Android performance
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Kotlin's built-in TODO() is great, except it crashes your app in production. Kaushik Gopal built something smarter.
Meta's engineers were spending days or months debugging performance issues they couldn't reproduce in their device labs. Sound familiar?
LINE Engineering ditched expensive cloud testing services and built their own Docker-based infrastructure. The result? Flexible, cost-effective testing for both web and mobile.
Flipkart slashed their Android app size by 40% in 21 months. The result? A 34% drop in uninstall rates and massive gains in emerging markets.
Raj Varma from Bumble's engineering team reveals how to give your Appium tests superpowers. His solution lets test code directly call methods inside your Android app—solving problems that seemed impossible.
Dmytro Khmelenko reveals how Freeletics turned localization from a bottleneck into a fully automated pipeline. The results? Measurable revenue spikes in newly localized markets and zero manual translation work.
Vishnu Rajeevan from Trello shares how his team went from 0% to 30.8% Kotlin in just over a year. Their strategy? Start with tests, then make every new feature Kotlin-only.
Mihaly Nagy from Groupon reveals you don't need IntelliJ IDEA to build Android Studio plugins—just Gradle and a text editor. If you've automated tasks 3 times, it's time to build a custom IDE tool.
Ever wonder how Twitter's delightful logo-to-app loading animation actually works? Eli White reverse-engineered it and the solution is counterintuitive.
Saurabh Arora from Viki cut their Android app's memory footprint by 27% while preparing for the Next Billion Users. His team's optimization work landed them as an Android GO launch partner.
Sam Tolomei from Google Play reveals a brutal truth: every 6MB you add to your Android app kills 1% of potential installs. And in emerging markets, the impact is even worse.
Adam Carpenter from Google reveals that most mobile games lose over half their new players in the first 10 minutes. The data shows exactly where retention breaks down and how top performers avoid it.
Instagram serves 800 million monthly users, 80% outside the US. How do you make the app feel instant for everyone, regardless of network quality?
TripAdvisor ships a 100MB app every two weeks to millions of users. One regression could tank performance for their entire user base.
Facebook was flying blind on battery drain across a billion devices. User-facing battery percentage? Too noisy, too coarse, and deliberately inaccurate by design.
Meta has been quietly building the foundation for interfaces that understand speech, vision, touch, and text simultaneously. The future of mobile isn't single-mode anymore.
Facebook's mobile team tackled one of Android's toughest performance challenges: keeping UI rendering smooth without blocking the main thread.
Instagram's background prefetching could easily drain batteries and waste data. Here's how they built a system that's both fast and responsible.
Meta's News Feed team solved what many thought impossible: smooth multithreaded rendering on Android at massive scale.
James Shephard from BBC explores how Kotlin's sealed classes can fundamentally reshape your Android architecture. What if callbacks aren't the answer to async operations?