Future for Java: Virtual Thread
This article offers an introduction to Java’s lightweight thread model, virtual thread, based on our study of it.
Explore 342 articles on Android performance
Showing 20 of 342 articles (Page 1 of 18)
How Meta is translating its Java codebase to Kotlin
Meta has been working to shift its Android codebase from Java to Kotlin, a newer language for Android development that offers some key advantages over Java.
The Quest to Understand Metric Movements
Suppose you just saw an interesting rise or drop in one of your key metrics. Why did that happen? It’s an easy question to ask, but much harder to answer.
Adopting Jetpack Compose for Etsy’s Android App
ne of our Guiding Principles at Etsy is that we “commit to our craft.” This means that we have a culture of learning, in which we’re constantly looking for opportunities to improve and learn
How We Reduced the WINK+ Android App to Less Than 10MB
One of the major challenges developers face in Android app development is optimizing app size without sacrificing functionality.
Bringing Jetpack Compose to Instagram for Android
Introducing a new Android UI framework like Jetpack Compose into an existing app is more complicated than importing some AARS
🚨 Understanding Memory Leaks in Android & How LeakCanary Can Help 🚀
As Android developers, managing memory is one of the most critical aspects of building…
Performance Class Helps Google Maps Deliver Premium Experiences
Describes how Google Maps uses Android’s Performance Class to deliver high-quality, premium user experiences.
Leading a project to migrate hundreds of screens to SwiftUI/Jetpack Compose from UIKit/AndroidView in Merpay
Merpay swaps old UI for SwiftUI and Jetpack Compose across screens.
Boosting App Performance: Strategies to Optimize Network Requests
Coinbase fine-tunes network calls to make their app feel snappier for users.
Translating Java to Kotlin at Scale
Meta shifted their giant Android codebase from Java to Kotlin over years.
Reddit Improved App Startup Speed Using Baseline Profiles & R8
Details how Reddit optimized app startup times using Baseline Profiles and R8 for better performance on Android.
Debugging in the Wild: Unleashing the Power of Remote Tooling
We all strive to build flawless apps, but let's face it - bugs happen. And sometimes, those pesky bugs are elusive, only showing up in the unpredictable chaos of production.
How Pinterest Leverages Honeycomb to Enhance CI Observability and Improve CI Build Stability
At Pinterest, our mobile infrastructure is core to delivering a high-quality experience for our users. In this blog, I’ll showcase how the Pinterest Mobile Builds team is leveraging Honeycomb.
Measuring Product Impact Without A/B Testing: How Discord Used the Synthetic Control Method for Voice Messages
Discord used synthetic control to measure voice message impact cleanly.
How We Reduced GrabX SDK Initialisation Time
Grab speeds up their GrabX SDK startup to get users rolling quicker.
How we reduced peak memory and CPU usage of the product configuration management SDK
Our GrabX clients noticed that the GrabX SDK tended to require high memory and CPU usage. From this, we saw opportunities for further improvements that could:
Precision in Motion: Deep Learning for Smarter ETA Predictions
DoorDash uses deep learning to nail ETA predictions with precision.
Snappy, Not Crappy: An Android Health & Performance Journey
Reddit turned their Android app from sluggish to snappy, fixing crashes and jank.
Tophat: Crafting a Delightful Mobile Developer Experience
Shopify’s Tophat app offers one-click testing, making dev life way sweeter.