Native iOS/Android Development

Why Native Development¶

Cross-platform frameworks save time at the start. Native development saves headaches in production.

When you need Bluetooth Low Energy communication with a scanner in a warehouse worker’s hand, background location tracking for drivers, or a custom camera pipeline for OCR on a production line — cross-platform abstractions slow you down more than they save. Every wrapper adds latency, limits access to platform APIs and complicates debugging.

Swift (iOS) and Kotlin (Android) give full, unrestricted access to everything the platform offers. ARKit/ARCore for augmented reality, Core ML/ML Kit for on-device inference, HealthKit/Health Connect for health data, CallKit for VoIP, WidgetKit for home screen widgets. No waiting for framework authors to finish writing the wrapper.

Performance Without Compromise¶

Native code runs directly on hardware. No JavaScript bridge, no Dart VM overhead. For most CRUD apps this makes no difference. For real-time camera processing, complex animations or heavy computation it’s a chasm:

• Frame rate: Stable 60 fps (120 fps on ProMotion devices) even with complex animations
• Memory footprint: Direct control over allocations, ARC/GC optimization per platform
• Startup time: Cold start under 1.5s, warm start under 500ms
• Battery: Optimized background processing, no unnecessary bridging overhead

Architecture for Enterprise¶

An enterprise mobile app is not a todo list. It’s a system that must work for years, survive developer turnover, handle dozens of screens and hundreds of business rules. Architecture matters.

Clean Architecture + MVVM¶

We separate responsibilities into layers that change independently:

Domain layer — pure business logic, Use Cases. Knows nothing about UI, databases, network. Testable with unit tests without any dependencies. ProcessOrderUseCase, ValidateDeliveryUseCase — each use case does one thing.

Data layer — Repository pattern. Abstraction over data sources (API, local DB, cache). The repository decides where to get data from: cache? Network? Both? Business logic doesn’t know and doesn’t need to.

Presentation layer — ViewModels for state management. SwiftUI on iOS, Jetpack Compose on Android. Unidirectional data flow — state flows in one direction, no race conditions, predictable behavior.

Dependency injection: Hilt/Koin on Android, Swinject on iOS. Every dependency is injectable and mockable. Testable at every layer — unit tests for logic, integration tests for data layer, UI tests for flows.

Kotlin Multiplatform (KMP)¶

Where it makes sense to share code, we share. KMP module for:

• Networking: Ktor client, serialization, API models
• Business rules: Validation, calculations, transformations
• Caching: SQLDelight for local database
• State management: Shared ViewModels with expect/actual for platform-specific behaviors

UI stays purely native — SwiftUI and Jetpack Compose. Result: 40-60% shared code, 100% native UX. No compromises in user experience.

Design System¶

Every enterprise app needs a design system. Not because it’s trendy — because without it, the UI is inconsistent after a year and new screens take 3× longer.

Figma → Code Pipeline¶

Design tokens (colors, spacing, typography, shadows) defined in Figma, exported to code. Change a brand color = change it in one place, propagated across the entire app. Reusable components: CoreButton, CoreCard, CoreListItem — consistent behavior and appearance.

Accessibility from the Start¶

VoiceOver (iOS) and TalkBack (Android) are not afterthoughts. Semantic labels, focus management, dynamic type support. Contrast ratios according to WCAG 2.1 AA. Accessibility isn’t just for the visually impaired — it’s quality UI for everyone.

When Native, When Cross-platform¶

We decide based on requirements, not ideology:

Criterion	Native (Swift/Kotlin)	Cross-platform (RN/Flutter)
Hardware access (BLE, NFC, camera)	✅ Full, without wrappers	⚠️ Via bridge, limitations
Performance (animations, real-time)	✅ Maximum	⚠️ Sufficient for most
Time-to-market	⚠️ Longer (2 codebases)	✅ Shorter (1 codebase)
Long-term maintenance	✅ Stable, platform updates	⚠️ Framework dependency
Budget	⚠️ Higher	✅ Lower

Our recommendation: For operational apps with hardware requirements, offline mode and a long lifecycle we choose native. For MVPs, internal tools and content-driven apps we consider cross-platform.

Technology Stack¶

iOS: Swift, SwiftUI, UIKit, Combine, async/await, Core Data, SwiftData, Keychain, XCTest, Swift Testing, Xcode Cloud.

Android: Kotlin, Jetpack Compose, Coroutines/Flow, Room, Hilt, DataStore, Espresso, JUnit5, Gradle.

Shared: Kotlin Multiplatform, Ktor, SQLDelight, kotlinx.serialization, Turbine.

CI/CD: Fastlane, GitHub Actions, Bitrise, Firebase App Distribution, TestFlight.

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