Realistic Time Estimates

These assume one developer who knows React Native reasonably well and uses AI tools throughout. | Phase | Time | |---|---| | Expo project scaffold + auth + navigation | 1–2 days | | Core screens (3–5 screens, typical CRUD) | 3–5 days | | Platform polish (gestures, haptics, keyboard handling) | 2–3 days | | Offline support + error states | 2–3 days | | Production build + app store submission | 1–2 days | | MVP total | 2 weeks | For production apps with complex native integrations, background sync, push notifications, and in-app purchases, add four to ten weeks. AI compresses the code-writing time but not the platform-specific debugging time — on-device testing on real hardware is irreplaceable.

On-Device AI Features

If your app runs AI inference on-device (not just calling a remote API), the constraints change significantly. - Core ML (iOS) / NNAPI (Android) — hardware acceleration; model must be converted to the right format - React Native ONNX Runtime — cross-platform option; model size directly affects app bundle size and download time - Expo's expo-ml community packages — wrapper quality varies; vet before committing For most apps, calling a remote model API is the right choice. On-device makes sense when: latency matters more than cost, you have privacy constraints, or the app works offline. See [AI Model Deployment 2026](/en/rehberler/ai-model-deployment-2026) for the tradeoff analysis between edge and server inference.

Testing and CI for AI-Generated Code

AI-generated code has a specific failure pattern: it works on the happy path and breaks on edge cases that weren't in the prompt. Compensate with: Mandatory: run TypeScript compiler after every AI edit. npx tsc --noEmit catches type errors AI introduces silently. Component tests before moving on. React Native Testing Library + Jest. If the component touches async data, test the loading and error states explicitly. Detox or Maestro for E2E. AI can generate Maestro flow YAML from a description of user steps — this is one of the most useful applications. Give it a user story; get a test file. EAS Build for CI. Expo's cloud build service (eas build) eliminates "works on my machine" problems. Connect it to your GitHub repo and run builds on every PR.

AI React Native

AI React Native: Building Mobile Apps with AI in 2026 TL;DR. AI tools have meaningfully shifted how React Native apps get built — component scaffolding, animation code, and native module bridging that used to take hours now take minutes. The stack in 2026 is Expo SDK 53, React Native 0.78, Reanimated 4, and TypeScript strict mode. A solo developer who learns to prompt well can ship a polished MVP…

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