Weekly Digest

Jul 28 - Aug 3, 2025

8 articles that week

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Friday, Aug 1

Our Buildkite Brings All the Devs to the Yard: (Re)Building Reddit Mobile CI in 2025

Reddit's mobile team had zero professional CI experience. Then they cut build times in half and transformed developer happiness.

Thursday, Jul 31

FlashList v2: A Ground-Up Rewrite for React Native’s New Architecture

Shopify just eliminated one of React Native's biggest pain points: guessing item sizes for performant lists.

Beyond Crash Reports: Why Observability Is a Business Imperative

Andrew Tunall, President of Embrace, makes a bold claim: your app's biggest retention killer isn't crashes. It's the performance issues you're not even tracking.

Wednesday, Jul 30

Introduction to MetricKit: Are You Measuring Your App's Performance the Right Way?

Ninikvatchantiradze from Teknasyon Engineering reveals why most iOS teams are measuring performance completely wrong. Your simulator tests and CPU averages are hiding the issues that make users uninstall your app.

Measuring App Performance with MetricKit

Ninikvatchantiradze from Teknasyon Engineering reveals why most iOS developers are measuring app performance completely wrong. If you're only testing locally or tracking basic CPU metrics, you're missing what's actually breaking your user experience.

Tuesday, Jul 29

Building Reusable Custom Views with SwiftUI

Max Roche from Grindr Engineering just solved one of SwiftUI's most annoying problems: why do custom components require massive initializers while Apple's native views stay clean and simple?

Revamping PickMe Driver App: From UIKit to SwiftUI — A Technical Journey

Kcrdissanayake from PickMe reveals how their team migrated an 8-year-old ride-hailing driver app from UIKit to SwiftUI while maintaining iOS 15 compatibility. The bold rewrite wasn't just about modern code—it was about solving real business problems like drivers force-quitting to avoid card payments.

Monday, Jul 28

Accelerating on-device ML on Meta’s apps with ExecuTorch

Meta just shared how they moved billions of daily users to their new on-device ML framework. The performance gains are substantial.