Precision in Motion: Deep Learning for Smarter ETA Predictions
DoorDash uses deep learning to nail ETA predictions with precision.
Showing 20 of 391 articles (Page 3 of 20)
DoorDash uses deep learning to nail ETA predictions with precision.
Reddit turned their Android app from sluggish to snappy, fixing crashes and jank.
It’s a difficult decision deciding whether your company’s mobile app should be a true native application or employ a cross platform approach like React Native or Flutter.
Shopify’s Tophat app offers one-click testing, making dev life way sweeter.
Shopify’s Tophat app makes mobile testing a one-click dream for devs.
Glance slashed 1Weather’s Android startup time by over 70%.
Writing tests is a fundamental part of writing good software. They help us to catch bugs, be confident in our changes and serve as documentation. At Wealthfront, our Android team relies heavily on our automated test suite to maintain productivity and code quality
DoorDash rolls out updates with an eye on metrics to keep their app healthy.
GitHub keeps mobile releases humming weekly with a tight process.
Zalando evolves their server-driven UI framework for scale and speed.
DeliveryHero uses Baseline Profiles to make Android apps start faster.
Part three on how we built a Compose based architecture with Mavericks in the Airbnb Android app
Hello everyone, I'm developing an Android app with Kotlin that heavily relies on location services and utilizes many native features. Meanwhile, I'm also learning Flutter. However, transitioning from Android to Flutter doesn't seem very appealing to me.
Part two on how we built a Compose based architecture with Mavericks in the Airbnb Android app
A three part series on how we built a Compose based architecture with Mavericks in the Airbnb Android app
Meta adds HDR photo support to make Instagram and Threads pop visually.
We decided that our new architecture for the listing screen, which we’ve named Macramé, would be based on immutable data propagated through a reactive UI.
Slack traces performance across mobile and desktop to catch every snag.
“Dogfooding” is one of the most important tools we have for improving the app.
Caching — the superhero of speedy apps. It’s the secret sauce that saves us from constant database calls, making our applications