Detecting List Items Observed by User
Zalando tracks what users see in lists to sharpen performance and stats.
Showing 20 of 289 articles (Page 14 of 15)
Zalando tracks what users see in lists to sharpen performance and stats.
LinkedIn keeps a tight watch on mobile crashes to stay smooth and steady.
Zalando slashed Swift compile times from 12 minutes to just 2 with tweaks.
Crashcan (think trashcan, but for crashes) is Etsy's internal application for mobile crash analytics. We use an external partner to collect and store crash and exception data from our mobile apps
A common complaint we’ve heard from our shoppers is that when they’re deep in the aisles of a grocery store, the app is frequently held hostage to spotty network connectivity.
Twitch smooths chat rendering for a lag-free experience in streams.
Zalando crafts native apps that shift content dynamically for users.
Zalando optimizes iOS table views to render fast and feel smooth.
Meta’s lab in Prineville hammers apps to ensure they perform anywhere.
AWS uses Appium to test apps on tons of real devices, no shortcuts.
Meta’s tools auto-catch iOS memory leaks, saving devs tons of time.
LinkedIn’s 3x3 method makes iOS builds faster and less prone to trouble.
LinkedIn’s 3x3 framework cuts the time to get mobile updates out the door.
Meta tackled iOS startup piece by piece to get users in faster.
LinkedIn drops 10 hot tips for making Node.js fly in mobile apps.
Meta cut memory crashes in their iOS app to keep it running smooth.
LinkedIn tunes Java garbage collection for high speed and low lag.
Meta’s tooling keeps their mobile apps running smooth and steady.
Crittercism (via AWS) tackles app issues for a billion users worldwide.
LinkedIn uses A/B tests to shape their apps based on real user vibes.