162 articles on App Performance for iOS performance
Showing 20 of 162 articles (Page 1 of 9)
Continuation of building a type-safe metrics API in Swift for iOS performance monitoring and measurement.
Demonstrates building a type-safe metrics API in Swift for iOS performance monitoring and measurement.
The January 2026 Swift community digest opens with a guest contribution from Studioworks, sharing their success using Swift for web application development with Hummingbird and Elementary. The post also covers ...
The hidden cost of LEFT JOINs in GRDB..Deep-dive into fixing iOS sluggishness.
A comprehensive guide to improving App Performance for Mobile Apps
The December 2025 Swift digest reflects on a landmark year for the open-source Swift project, highlighting milestones including the Swift 6.2 release with WebAssembly support and approachable concurrency, rapid...
JioHotstar's iOS team shares their journey automating performance regression testing, exploring xctrace-based E2E profiling and XCTMetric performance tests for detecting hitches and memory leaks. They built a c...
Guide on using Kotlin Notebooks to analyze performance benchmarks, relevant to mobile app performance measurement.
Release notes covering new features and performance improvements in Flutter 3.38.
Details strategies and techniques for accelerating mobile app update delivery and deployment.
Apple open-sources Swift Profile Recorder, an in-process sampling profiler for Swift services that requires no special OS privileges or system dependencies. The tool has been used internally at Apple at scale f...
Airbnb's analysis of SwiftUI performance bottlenecks and optimization techniques for iOS app development.
WhatsApp/Messenger moved key models on-device; reduced model load & inference time and improved ANR metrics. (Engineering at Meta)
New techniques we’re using at Airbnb to improve and maintain performance of SwiftUI features at scale
Techniques for profiling and analyzing native code performance in React Native using Tracy profiler.
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.
Meta fine-tunes Threads on iOS to keep it fast and frustration-free.
Coinbase fine-tunes network calls to make their app feel snappier for users.
Grab speeds up their GrabX SDK startup to get users rolling quicker.
Describes implementation of built-in performance monitoring and insights for Unity mobile development.