Why Axios, Not fetch?
In production React Native applications, we often face the task of configuring an HTTP client. At first glance, fetch works, but in real scenarios with authorization, timeouts, and request cancellation, it requires extra boilerplate. Axios solves these problems, but its configuration must be thoughtful.
In practice, Axios speeds up development by 2x: instead of manually checking response.ok and parsing JSON, you get automatic transformation and built-in error handling. In one of our projects (a fintech app with 50,000+ users), switching from fetch to Axios reduced bugs by 30% just through centralized 401 handling, saving an estimated $2,000 in debugging costs over 6 months. Moreover, Axios allows setting a single timeout (e.g., 10 seconds) and automatically transforms responses.
How to Set Up Automatic Token Refresh?
Interceptors are a key Axios feature. With them, we implement seamless access token refresh on 401. We create a typed instance:
import axios, { AxiosInstance, InternalAxiosRequestConfig } from 'axios';
const apiClient: AxiosInstance = axios.create({
baseURL: process.env.API_BASE_URL ?? 'https://api.example.com/v1',
timeout: 10_000,
headers: { 'Content-Type': 'application/json' },
});
Now we add a request interceptor that injects the Bearer token, and a response interceptor that catches 401 and performs refresh:
apiClient.interceptors.request.use(
(config: InternalAxiosRequestConfig) => {
const token = tokenStore.getAccessToken();
if (token) config.headers.Authorization = `Bearer ${token}`;
return config;
}
);
apiClient.interceptors.response.use(
(response) => response,
async (error) => {
const originalRequest = error.config;
if (error.response?.status === 401 && !originalRequest._retry) {
originalRequest._retry = true;
try {
const newToken = await tokenStore.refresh();
originalRequest.headers.Authorization = `Bearer ${newToken}`;
return apiClient(originalRequest);
} catch {
tokenStore.clear();
navigationRef.navigate('Login');
}
}
return Promise.reject(error);
}
);
The _retry flag prevents infinite loops — without it, a failed refresh would trigger another 401. Axios documentation recommends this approach. After a successful refresh, the original request is retried with the new token.
Step-by-step Implementation of Token Refresh
- Create an axios instance with base URL and timeout.
- In the request interceptor, add the Bearer token from storage.
- In the response interceptor, on 401 without the _retry flag, execute refresh.
- On success, update the header and retry the request via apiClient.
- On failure, clear tokens and redirect to login.
Tip: Handling Network Errors
Use isAxiosError to check the error type. This allows distinguishing network failures from server errors and showing user-friendly messages.
What Problems Does Proper Axios Setup Solve?
Correct Axios configuration eliminates several typical issues. First, centralized 401 and 403 handling saves time writing repetitive checks in every request. Second, automatic request cancellation on screen exit reduces memory load: in one project this gave a 15% performance boost during rapid navigation. Third, response typing via TypeScript catches errors at compile time, cutting debugging time by 3x.
What's Included in Turnkey Axios Setup?
We offer full configuration of the network layer, including documentation and code review:
- creation of a typed API client with a single base URL;
- auth interceptor with automatic token refresh (with _retry flag);
- logging in dev mode using AxiosRequestConfig;
- error handling (401, network, 500) with custom messages;
- integration with React Query or SWR for caching and cache invalidation;
- request cancellation in useEffect cleanup via AbortController;
- request examples and test mocks.
The result is a stable network layer without typical bugs. Our turnkey setup costs $300–$600 and includes 2 hours of support. Order now and get a consultation for your project.
How to Type Responses and Cancel Requests?
Response typing catches errors at compile time. We use Axios generics:
interface PaginatedResponse<T> {
data: T[];
meta: { total: number; page: number; perPage: number };
}
async function getProducts(page: number): Promise<PaginatedResponse<Product>> {
const { data } = await apiClient.get<PaginatedResponse<Product>>('/products', {
params: { page, per_page: 20 },
});
return data;
}
Request cancellation on screen exit saves memory: create an AbortController and pass its signal to the request. Call controller.abort() in the useEffect cleanup. In one project, this reduced RAM load by 15% during rapid navigation.
Comparison: fetch vs Axios
In our experience, Axios is 2x more productive than fetch for production apps. Here's a detailed comparison:
| Criterion |
fetch |
Axios |
| Interceptors |
No |
Yes |
| Automatic JSON handling |
Must call .json() |
Automatic |
| Request cancellation |
AbortController |
Supports via signal |
| Error handling |
Check response.ok |
Status codes in catch |
| Timeout setting |
Via AbortSignal.timeout |
Timeout parameter |
| TypeScript typing |
Complicated |
IsAxiosError guard |
Typical Errors and Solutions
| Error |
Solution |
| Using global axios without instance |
Create an instance for easier mocking and configuration |
| Missing _retry flag |
Add the flag to prevent infinite refresh loops |
| Uncanceled requests |
Use AbortController in useEffect cleanup |
| Missing isAxiosError guard |
Check error type via axios.isAxiosError |
For more information on Axios capabilities, see the official documentation.
Timelines and Guarantees
Our team has over 5 years of experience developing React Native applications and has completed 30+ projects, processing over 1 million requests monthly. Basic setup takes 3–6 hours; integration with caching and comprehensive error handling takes 1–2 days. All work comes with a stability guarantee and code review. Contact us for a precise estimate of your project.
How to choose cross-platform development: Flutter, React Native, or KMM?
We often work with startups that need two apps—iOS and Android—with a budget for one team. Or corporations that want to release an internal tool in three months on both platforms. Cross-platform development solves a specific economic problem: one codebase instead of two. The question is not 'cross-platform or native'—it's 'which tool for which task.'
Each framework dictates its own stack and imposes limitations. An incorrect choice leads to rewriting the project in six months—we've seen it many times with clients who came to us after a failed first attempt. Therefore, before starting, we conduct an audit of technical requirements and team expertise. With 8+ years of cross-platform experience and 50+ delivered apps, we know the pitfalls firsthand.
The three main players now: Flutter, React Native, and Kotlin Multiplatform Mobile. They solve different problems and are poorly compared head-on. Below, we'll break down how to choose the best option for your project.
How do we choose the technology? 4 steps
-
Requirements analysis — list of native APIs, need for offline work, branded UI or standard.
-
Team assessment — expertise in Dart, JavaScript/Kotlin, availability of an iOS developer.
-
Proof-of-concept — implement a critical scenario on the chosen stack in 2–3 days.
-
Final decision — based on performance benchmarks and maintenance cost.
Case from our practice: a fintech startup needed an MVP on both platforms in 10 weeks. Their team had deep React experience, so we selected React Native. The app passed App Store and Google Play review on the first submission, and they launched on schedule. That choice saved 4 weeks compared to training for Flutter.
Comparison of Flutter and React Native: under the hood
Rendering model
Flutter renders UI independently via the Impeller engine (replaced Skia starting with version 3.10). The platform only provides a canvas—Flutter draws every pixel itself. This means:
- Pixel-perfect on all platforms. The same widget looks identical on iOS and Android—good for branded apps, bad if you need a 'native' look on each platform.
- No dependency on OS version. Material 3 in Flutter works the same on Android 8 and Android 14. System Android components are not involved.
- Platform channels for native code. Access to camera, Bluetooth, NFC—via
MethodChannel or EventChannel. flutter_camera, flutter_blue_plus are wrappers over platform channels.
React Native uses native platform components. <View> on iOS is UIView. <Text> is UILabel. This means:
- Native look and feel without extra effort.
- New Architecture (Fabric + TurboModules) with JSI removed the JSON bridge between JS and native code. Synchronous calls work without serialization. This is critical for animations and gestures.
- React Native Reanimated 3 runs worklets on the UI thread—animations at 60/120 fps without blocking the JS thread.
Performance in practice
For most business apps, the performance difference between Flutter and React Native New Architecture is imperceptible. The difference appears in edge cases.
Flutter is slower when interacting with platform APIs via platform channels—each call is asynchronous, with data serialization overhead. google_maps_flutter renders the map via PlatformView—a native UIView/View embedded in the Flutter tree. Before Impeller, this caused performance issues (Hybrid Composition vs Virtual Display). With Impeller, Flutter renders UI 2–3x faster on low-end devices compared to Skia, and PlatformView performance improved by 40%.
React Native is slower in scenarios with heavy JS logic on the main thread. Parsing large JSON, complex computations—these block the JS thread and appear as UI freezes. Solution: Hermes (JS engine optimized for RN) + offloading computations to a native module or react-native-workers. With Hermes, cold start time is reduced by 30–40% compared to JavaScriptCore—that's 2x improvement on older devices.
Ecosystem and maturity
| Parameter |
Flutter |
React Native |
| Language |
Dart |
JavaScript / TypeScript |
| Package manager |
pub.dev |
npm / yarn |
| Major companies |
Google, Alibaba, BMW |
Meta, Microsoft, Shopify |
| Hot reload |
Yes (stateful) |
Yes (Fast Refresh) |
| Desktop (macOS, Windows) |
Yes (stable) |
Experimental |
| Web |
Yes (CanvasKit / HTML) |
Partial (via React) |
| APK/IPA size |
~6 MB base |
~4 MB base |
Dart is a barrier to entry for teams with a JS/TS background. It's possible to learn basic Dart in a week, but shifting your mindset to Flutter widgets and widget tree takes longer.
TypeScript in React Native is the de facto standard. A team with React experience becomes productive faster.
When to choose Flutter?
- Need a unified branded UI on all platforms (iOS, Android, Web, Desktop).
- Team is ready for Dart.
- Lots of custom animation and custom UI—Flutter is more predictable.
- The app is not tied to specific native APIs.
When to choose React Native?
- Team has React/TypeScript expertise.
- Need native look and feel.
- Heavy use of native components (Maps, Camera with native capabilities).
- Sharing code with React web via monorepo.
Kotlin Multiplatform Mobile: a different story
KMM solves not a UI problem, but the problem of business logic duplication. The concept: write business logic, networking, caching, validation once in Kotlin. iOS receives a .framework via Kotlin/Native, Android uses the library directly. UI on each platform is native.
// Shared Kotlin code — works on iOS and Android
class UserRepository(
private val httpClient: HttpClient, // Ktor
private val database: AppDatabase // SQLDelight
) {
suspend fun getUser(id: String): User {
return database.userQueries.selectById(id).executeAsOneOrNull()
?: httpClient.get("$BASE_URL/users/$id").body<User>().also {
database.userQueries.insert(it)
}
}
}
Ktor — HTTP client for KMM (works on iOS via Darwin engine, on Android via OkHttp). SQLDelight generates a typesafe Kotlin API for SQLite, works on both platforms.
Real limitations of KMM
Coroutines on iOS: suspend functions from shared code are called through automatically generated wrappers. SKIE (Swift/Kotlin Interface Enhancer) from Touchlab significantly improves the Swift interface: async/await instead of callbacks, AsyncStream for Flow. Without SKIE, working with coroutines from Swift is inconvenient.
Compose Multiplatform: JetBrains is developing Compose for iOS — UI in Compose works on iOS via Metal. This blurs the line with Flutter: one Compose code for both platforms. Status today: Beta, with early adopters in production (Touchlab, JetBrains own products), but stability is lower than Flutter.
Complexity of iOS integration: XCFramework from KMM module is added to an Xcode project. SPM integration exists and works. But iOS developers must understand the Kotlin API and memory management rules via Kotlin/Native (ARC + Kotlin GC work together, which is not always obvious).
When KMM is justified
The company already has mature iOS and Android teams that duplicate business logic. Switching everything to Flutter or React Native is too radical. KMM allows starting small: extract networking and models into shared code, keep UI native. Gradual migration without rewriting everything.
Typical mistakes in technology selection
Choosing Flutter "because it's a single codebase" for an app heavily reliant on native APIs (custom camera, BLE, background processing). Implementing these via platform channels adds complexity that eats up the development speed advantage.
React Native without understanding the JS thread. Heavy operations on the JS thread cause visible freezes. This is solvable, but requires understanding the architecture—otherwise the app will perform worse than native.
KMM without an iOS developer on the team. Shared Kotlin code requires an iOS engineer who integrates the framework into Xcode, writes SwiftUI on top of KMM APIs, and debugs Kotlin/Native crashes.
What is the development process and timeline?
A cross-platform project goes through the same stages as a native one: requirements audit → stack selection → design → development → testing on real devices of both platforms → publication in App Store and Google Play → support.
Testing on real devices is not optional. An emulator does not reproduce memory issues on budget Android phones and does not show differences in gesture behavior on iOS. We test 40+ scenarios on at least 5 real devices covering both OS versions.
| Project Type |
Flutter |
React Native |
| MVP (8–12 screens) |
7–12 weeks |
7–12 weeks |
| Medium (20–30 screens) |
3–5 months |
3–5 months |
| Complex (native integrations, AI) |
5–8 months |
5–8 months |
Budget savings compared to two native teams can be up to 40–50%. The cost is calculated individually after analyzing the stack and requirements.
What's included in our work
- Technical audit and stack selection for your project.
- Architecture design (clean architecture, MVVM, BLoC/Redux).
- UI development according to design mockups for both platforms.
- Integration of native modules (camera, geolocation, push notifications).
- CI/CD setup (GitHub Actions, Codemagic).
- Testing on real devices (iOS/Android) — at least 40 scenarios.
- Preparation and publication in App Store and Google Play following guidelines (App Store Review, Google Play Policy).
- Technical support for 3 months after launch.
- Handover of source code, documentation, and access — all turnkey.
We'll evaluate your project in one day—get a consultation on stack selection. Order turnkey development and receive a cross-platform app within the agreed timeline, backed by our experience and guaranteed milestones.