React Native Cross-Platform Apps
Build once, run on both iOS and Android with React Native. Shared business logic, native UI components, and 95% code reuse while maintaining native performance.
We build mobile apps that users love — fast, reliable, and AI-powered. Whether native or cross-platform, we deliver polished iOS and Android apps with seamless backend integration.
Capability map
Code Huddle builds mobile applications that combine performance, design, and AI-powered intelligence. We work across the full mobile stack: native Swift/Kotlin for maximum performance, and React Native or Flutter for cost-effective cross-platform delivery. Every app we ship is tested on real devices and optimized for App Store and Google Play launch.
Build once, run on both iOS and Android with React Native. Shared business logic, native UI components, and 95% code reuse while maintaining native performance.
Beautiful, natively compiled apps using Google's Flutter framework. Dart-based codebase with stunning animations, consistent UI across platforms, and strong performance.
Pure Swift apps for iOS and macOS. SwiftUI and UIKit expertise, deep system integration (HealthKit, ARKit, CoreML), and App Store submission management.
Kotlin-first Android development with Jetpack Compose. Material Design 3, background services, push notifications, and Google Play deployment.
Integrate on-device ML (Core ML, TensorFlow Lite) or cloud AI APIs into your mobile app. Use cases include image recognition, real-time translation, voice commands, and personalized recommendations.
We manage the full App Store and Google Play submission process including ASO (App Store Optimization), screenshots, descriptions, and metadata for maximum discoverability.
Delivery model
Clarify the user outcome, commercial goal, constraints, inherited systems, and unknowns worth testing first.
Shape the experience, architecture, integrations, release boundary, acceptance criteria, and operating model.
Deliver reviewable increments with testing, demonstrations, production telemetry, documentation, and handover.
Commercial model
Defined outcomes can use milestones. Evolving products are usually better served by transparent team capacity. Estimates follow discovery of workflows, integrations, constraints, and acceptance criteria.
Engineering judgment
Build versus buy, delivery speed, operating cost, security, maintainability, migration, and technical ambition are discussed as product decisions—not hidden implementation details.
Where this fits
Technology choices
The final stack follows product constraints, team capability, integration boundaries, security, scale, and long-term ownership.
Explore product stories with related architecture, workflows, and delivery decisions.
Questions before starting