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Flutter Performance Part 5: Breaking Limits with Rust & FFI
Push your Flutter app to the absolute limit. Learn how to achieve zero-overhead native communication using FFI and Rust, and when you should (and shouldn’t) use it.
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Push your Flutter app to the absolute limit. Learn how to achieve zero-overhead native communication using FFI and Rust, and when you should (and shouldn’t) use it.
Stop Out-Of-Memory (OOM) crashes and reduce your download size. Learn the critical rules of Image Caching, hunting Memory Leaks, and analyzing your final build size.
Stop freezing your app during heavy data processing. Learn the difference between async/await and true concurrency, and how to use Isolate.run() to keep your UI silky smooth.
How Flutter actually decides what rebuilds, why extracting widgets into classes does not speed anything up by itself, and the techniques that measurably do: const, the child parameter, RepaintBoundary, and scoped state.
Measure first, optimize later. Stop guessing why your Flutter banking app is lagging and learn how to use DevTools, Profile Mode, and the Performance Overlay to find the real bottlenecks.
Streams, ValueNotifier, RxDart, and Riverpod all solve the same problem at different sizes. When I reach for each one, with a working example.
One git tag builds, signs, and ships our Flutter super app: Android to Firebase App Distribution, iOS to TestFlight. The full Codemagic setup for a CodeCommit monorepo, codemagic.yaml included.
The iOS half of the Flutter flavors setup: build configurations and custom schemes in Xcode, so the dev, uat, and live builds can be installed side by side.
Set up dev, uat, and live flavors for a Flutter app on Android, with a separate app id and name per environment, and two ways to read the flavor from Dart: the appFlavor constant (Flutter 3.16+) or the classic method channel.