Showing 20 of 1284 articles (Page 20 of 65)
Discusses performance benchmarking methodologies and results for Swift language implementations.
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.
Strategies and insights for optimizing real-time chat performance on Android applications.
Demonstrates using the DMAIC methodology and Reassure tool to systematically measure and improve React Native app performance.
Covers methodologies and tools for measuring and monitoring performance metrics in native mobile applications.
Explores optimization techniques for iteration patterns in Swift, relevant to code performance.
Shopify made their app faster by rethinking data loads and cutting waste.
Integration guide for implementing real-time communication in Android apps using AWS AppSync and GraphQL.
“Dogfooding” is one of the most important tools we have for improving the app.
Provides essential strategies for optimizing page load time and overall performance in iOS applications.
Best practices for designing and refining Compose APIs to support design systems.
Overview of Flutter framework development priorities and planned features for mobile engineering.
Overview of Flutter and Dart capabilities and best practices for mobile app development.
Caching — the superhero of speedy apps. It’s the secret sauce that saves us from constant database calls, making our applications
Announces React Native capabilities for developing applications on Apple Vision Pro platform.
Details improvements to performance measurement and scoring accuracy in monitoring systems.
Implementation guide for building decentralized social applications using Lens Protocol and React Native.
Best practices for building scalable continuous integration and deployment systems for iOS.
Swiggy tunes their restaurant app to perform better for partners.
Glovo discovered that adding explicit types to Java Map definitions cut their Android build time by 30%, diving into JVM type inference internals and Gradle debugging to find this optimization.