iOS
Articles on iOS performance, Swift optimization, Xcode tooling, and building fast Apple platform apps.
iOS engineering articles 331–360 of 733
Migrating to Swift Package Manager
Victor Sarda from Just Eat Takeaway reveals how his team migrated a massive modularized iOS codebase from CocoaPods to Swift Package Manager without blocking a single developer. The secret? Supporting both depe...
Striving for iOS App Performance
Strava's iOS app was slowing down as they scaled to 1 billion activities in 18 months. Their solution? A ruthless focus on "Time to Something Useful."
How to Speed Up SwiftUI Development and Testing Using PreviewSnapshots
John Flanagan from DoorDash reveals how his team eliminated duplicate code between SwiftUI previews and snapshot tests. The solution? An open-source tool that cuts testing boilerplate to a single line.
Video Stories and Caching Mechanism (iOS)
Swiggy's iOS team built Instagram-style video stories and saved 49GB of user data in just two weeks. Here's how they did it.
Why are app sizes so big now?
Bank of America's app is 448 MB. McDonald's is 251 MB. When did ordering fries require half a gigabyte?
Lottie vs Rive: Optimizing Mobile App Animation
Animations can make or break your app's performance. Choosing between Lottie and Rive isn't just about features: it's about understanding the tradeoffs that impact your users' experience.
Build an end to end JSON logging system for clients apps
Liang Ma and Wei Zhu from Pinterest built a JSON logging system that catches production issues hours before traditional metrics even notice. Here's how they gave mobile teams real-time visibility into 300 billi...
GoTransit: Unifying Our Mobility Products with Public Transportation
The article link appears to be broken or unavailable. I cannot access the content about GoTransit's mobility integration.
How to Stop Worrying About Image Freshness and Reduce the Image Network Traffic
Delivery Hero was burning through 9TB of image data daily. Their apps were sluggish, their network costs were astronomical, and users were waiting too long for images to load.
Fan-tastic Search for Blazing Fast Results
Swiggy's search feature was a mess: 2,000+ lines in a single ViewModel, monolithic XML files, and performance issues. Time for a complete rewrite.
Optimizing Testing for Server-Driven Mobile Development at Strava
Strava's Android team hit a wall: testing server-driven UI meant wrestling with Charles Proxy crashes, EOF errors, and 3-4 minute build times. An intern decided to fix it.
Swiggy's iOS App Now Loads 12 Times Faster
Swiggy's iOS app was taking forever to launch. Their mobile team spent 3 months hunting down bottlenecks and achieved a 12x improvement in cold start time.
Reddit Recap: State of Mobile Platforms Edition (2022)
Reddit's mobile team just dropped their unfiltered take on iOS vs Android development in 2022. Spoiler: both platforms have some explaining to do.
Mobile The Future Is Declarative
Lazar Nikolov explores why Android and iOS are finally catching up to React Native and Flutter. The shift to declarative UI is reshaping native mobile development.
Scaling the Just Eat Help Centre on iOS
Andrea Scuderi from Just Eat reveals how his team tackled a 19,602-line legacy iOS module without a risky big-bang rewrite. Their 9-phase restructuring approach cut code by 23% while maintaining stability.
Announcing Lottie 4.0 for iOS
Airbnb just solved one of mobile animation's biggest performance problems. Lottie 4.0 eliminates the CPU overhead that was causing animations to drop frames and freeze.
EfficientFormer: Vision Transformers at MobileNet Speed
Snap Research just proved that Vision Transformers can run as fast as MobileNet on actual mobile devices. Yes, really.
Swiggy App on Diet
Swiggy slashed their Android app size by 22.6% in just one day. Here's how they did it without the usual complexity.
6 Lessons Learned from Optimizing the Performance of a Node.js Service
Klarna's A/B testing platform needed single-digit millisecond latency at 99.9%. Their Node.js service was spiking to seconds under load.
The New Gold Standard for iOS Releases: 99.99% Crash-Free
Turo's iOS team took their crash-free rate from 99% to 99.99% in just one year. Here's how a lean 5-engineer team achieved what most would consider impossible.
Improving Auto Pause for Everyone
Strava's engineering team faced a deceptively hard problem: how do you automatically detect when a runner stops moving without draining their battery or showing the wrong pace?
Announcing Multiplatform Paging
Veyndan Stuart from Cash App just open-sourced a solution to one of mobile development's most annoying problems: writing pagination logic twice for Android and iOS.
Scaling Mobile Device Management
Uber's Client Platform Engineering team faced a massive challenge: rolling out MDM to 20,000+ employees across hundreds of global offices where standard Apple enrollment wouldn't work everywhere.
Strategies and Tools for Performing Migrations on Platform
Spotify migrated 2,200+ mobile components and moved their entire iOS/Android codebase to Bazel across 100+ squads. Here's how they survived the chaos.
Debugging High Latency in the Market Store
Grab's ML feature store went from 200ms to 2 second latency. The culprit? A single line of code in an async library.
Planting Trees One Ride at a Time
Gojek turned ride-hailing into climate action with a simple toggle. One developer said it best: 'For the first time in my life, writing code generated physical outputs.'
How Meetup Scales Notification Queue Consumers
Meetup sends 8-10 million notifications daily. Their queue kept backing up, sending messages late or not at all.
Recovering from Crashes with Safe Mode
Lyft engineers faced a nightmare scenario: feature flags causing infinite crash loops on app launch, requiring emergency hotfixes and losing revenue. They built Safe Mode to break the cycle.
Mobile Developer Experience at Slack
Slack's 8-person Mobile DevXp team saved $240K annually just by improving PR notifications. Most companies are massively underinvesting in developer experience.
Shift-Left iOS Testing with Focus Flows
Lyft's iOS tests were spending 93% of their time on steps that had nothing to do with what they were actually testing. Sound familiar?