In our previous articles, we’ve already touched upon the pains of frontend developers: we examined the challenges faced by teams using Vue and React Native, and how the OneEntry platform helps to handle architectural limitations, accelerate releases, and streamline logic. JavaScript is a language upon which entire ecosystems are built, bringing with them a whole spectrum of difficulties that engineers face daily. That’s why, in this article, we decided to look at these problems more broadly, delving into their very essence: the universal challenges JavaScript developers encounter, whether they use React, Svelte, or pure JS.
The issues are well-known within the frontend developer community and remain relevant:
Asynchrony and race conditions
Dependency vulnerabilities and supply chain risks
Stack fragmentation and boilerplate code
Testing difficulties due to an unstable backend
These challenges affect the speed, stability, and predictability of the entire development process, causing crashes, complicating development, and increasing maintenance costs. In this article, we will demonstrate how OneEntry helps overcome these problems through a carefully designed TypeScript SDK and a universal approach to API interaction.
Asynchrony and Race Conditions
Asynchrony in JavaScript is a double-edged sword. On one hand, async/await and promises have long become standard. On the other, they’ve created an entire class of elusive bugs that even experienced developers struggle with.
Call timings, promise chains, forgotten awaits, simultaneous access to the same resource—all of this can lead to bugs that don’t occur consistently, appearing only occasionally, perhaps for "one in five users". Such errors aren’t caught by linters, aren’t reliably reproducible in tests, and are extremely challenging to debug. This is precisely how race conditions manifest themselves in practice, despite JavaScript being single-threaded.
Paradoxically, even advanced async handling models found in Swift or Kotlin don’t guarantee protection against complex race conditions in JavaScript. A recent study, Stop Writing async/await Like This — Here’s What Senior Engineers Do (Medium, June 2025), thoroughly analyzes common mistakes—unresolved promises and incorrect call sequences—which lead to unpredictable bugs, even in seemingly straightforward scenarios.
Another alarming example is vulnerability CVE-2025-23087, affecting older Node.js versions (≤ 17.9.1). It’s particularly dangerous because it occurs during parallel asynchronous operations involving OpenSSL and HTTP parsers.
As these issues accumulate, they turn concise JavaScript code into a fragile system, where each new change requires meticulous double-checking and additional maintenance. This inhibits project scalability and slows down development. Thus, it becomes particularly crucial that the platform a team relies on absorbs part of this architectural complexity.
💡 Solution: Typed TypeScript SDK
The OneEntry platform addresses the challenges of asynchrony with a concise yet thoughtfully designed SDK written in TypeScript. Every method is strictly typed, eliminating ambiguities and ensuring predictable results. Built-in error handling removes the need to manually check response structures and repeatedly use the same try/catch
blocks throughout various parts of the application.
Here’s an example of a typical API call, fully compatible both with browser-based applications in Next.js and with mobile logic in React Native:
import { defineOneEntry } from 'oneentry';
const api = defineOneEntry(
process.env.ONEENTRY_URL,
{ token: process.env.ONEENTRY_TOKEN }
);
async function fetchProducts() {
const body = [
{
"attributeMarker": "price",
"conditionMarker": "mth",
"statusMarker": "waiting",
"conditionValue": 1,
"pageUrls": [
"23-laminat-floorwood-maxima"
],
"isNested": false,
"title": ""
},
{
"attributeMarker": "price",
"conditionMarker": "lth",
"conditionValue": 3,
"pageUrls": [
"23-laminat-floorwood-maxima"
],
"isNested": false,
"title": ""
}
];
const items = await Products.getProducts(body);
console.log('Products:', items);
}
// Used identically in React Native and Next.js
fetchProducts();
This unified approach means that the team doesn’t need to adapt business logic for different environments. The SDK behaves consistently and predictably across any stack.
Dependency Vulnerabilities and Supply Chain
📌 Problem
Everything that makes JavaScript so flexible and rapid in development—abundant packages, open source, and modularity—simultaneously becomes its Achilles’ heel. The npm ecosystem has long evolved into a giant network of interconnected dependencies, where a single vulnerable link can trigger a cascading attack.
A recent example is the incident involving @react-native-aria, where malicious code was introduced into the dependencies of a popular library. Thousands of projects, including production builds where no one anticipated interference, were put at risk. This clearly illustrated that even an innocuous-looking updated patch could pose a genuine threat.
Equally alarming was the vulnerability CVE-2025-23087, affecting outdated Node.js versions (≤ 17.9.1). It became the first universal CVE of its kind for the Node ecosystem, emphasizing that centralized security control is no longer optional but essential.
In an environment where developers install dozens of packages daily, it’s hard to ensure that none contain a hidden trojan or open backdoor. The more dependencies involved, the greater the attack surface. Therefore, teams increasingly seek platforms that don’t rely on complex infrastructures of external libraries, reducing risks at the architectural level.
💡 Solution: Minimal Dependencies in OneEntry SDK
Unlike many libraries, the OneEntry SDK was originally designed with a minimal-trust principle in mind. It doesn’t rely on third-party npm packages and doesn’t introduce a chain of transitive dependencies—the very chain in which vulnerabilities often hide.
The OneEntry SDK is built without transitive dependencies:
{
"name": "oneentry",
"version": "1.0.123",
"dependencies": {
"io": "",
"socket.io-client": ""
}
}
This concise configuration is not accidental but an architectural decision. The lock file lacks typical sources of problems, such as lodash, axios, or debug. This means the SDK doesn’t carry external risks associated with unauthorized modifications or injected malicious code. This approach not only simplifies auditing but also minimizes potential attack vectors. For teams focused on security and reliability, especially in production, this becomes a significant strategic advantage.
Frontend Stack Fragmentation
📌 Problem
The frontend has long moved beyond a single tool. Today, developers work in an ecosystem where React, Vue, Svelte, and Angular coexist alongside dozens of bundlers, routers, state management libraries, and other “essential” components. In practice, this means solving the same tasks repeatedly for each individual stack: recurring API calls, different connection structures, varying syntax, and differing approaches to data handling. All of this leads to code duplication and complicates maintenance.
This issue is particularly acute in cross-platform projects, where one team manages both web and mobile applications. Development turns into continuous synchronization, as identical scenarios must be maintained across two or three separate implementations.
💡 Solution: Unified SDK Independent of Stack
OneEntry simplifies this task at the architectural level. Its SDK is built with uniformity in mind: it uses ES modules and supports tree-shaking, while the methods themselves and the connection structure remain identical regardless of the environment.
import { defineOneEntry } from 'oneentry';
const api = defineOneEntry(...);
const prods = await api.Products.getProducts(...);
The same approach works seamlessly in both React Native and the Next.js e-commerce template without any modifications. This eliminates the need to maintain fragmented implementations and allows teams to focus on product logic rather than platform differences. The SDK becomes a connecting link, unifying various frontends into a single, predictable API environment.
Testing Stability (Flaky Tests)
📌 Problem
Even the most reliable frontend loses its value when tests become unpredictable. Unit and integration tests regularly fluctuate due to unstable backend behavior: delays, timeouts, race conditions. All this leads to flaky tests, which sometimes pass and sometimes fail without obvious reasons. This disrupts CI processes and undermines team confidence.
Recent research confirms this issue remains relevant. For example, in January 2025, the study Detecting and Evaluating Order Dependent Flaky Tests in JavaScript analyzed 81 Jest projects, finding 55 order-dependent tests across 10 projects, where test outcomes varied depending on the order of execution. The primary causes were shared mock states and common file caches between tests. Then, in April 2025, the research Systemic Flakiness: An Empirical Analysis of Co-occurring Flaky Test Failures revealed that approximately 75% of flaky tests are prone to systemic dependencies: they form clusters triggered by network delays and unstable external dependencies. These studies demonstrate that flaky tests have long ceased to be isolated failures. They can erode the entire CI environment and undermine the team’s trust in automation.
In pursuit of coverage, teams often create fragile tests dependent on side effects. Such mistakes harm not only project quality but also the budget: addressing faulty tests is an expensive and stressful undertaking.
💡 Solution via Third-Party Mocking
While OneEntry doesn’t currently have a built-in mock mode, its stable and predictable SDK API is perfectly suited for integration with mock frameworks. One leading solution is MSW (Mock Service Worker).
This approach enables the emulation of API behavior at the network request level, removing tests’ dependency on an external server. The result is fast, stable, and predictable tests, ideal for a CI/CD environment, where reliability is the key to accelerating releases without sacrificing quality.
Discussion of Advantages
When systematically examining each of the identified challenges, it becomes clear: OneEntry doesn’t simply address isolated pain points—it establishes a robust foundation for development. Below is a brief overview of the key problems and the solutions offered by the SDK:
Asynchrony
➝ Typed methods and built-in execution control eliminate async/await chaos.Dependency Vulnerabilities
➝ Complete absence of transitive dependencies, a clean lock file, and controlled codebase.Stack Fragmentation
➝ A unified API that works consistently across React, Vue, Next.js, React Native, and other environments.Testing Stability
➝ Direct compatibility with MSW and other mock frameworks for reliable API emulation without flaky tests.
In addition to these solutions:
- Simplified architecture — the SDK serves as a single source of truth and reduces code coupling.
-
Minimal boilerplate — there’s no need to manually construct requests with
fetch
oraxios
. - Testability by default — due to the SDK’s structure, CI becomes a reliable tool rather than a lottery.
- Security from the start — the absence of third-party dependencies significantly reduces supply chain attack risks.
These exact factors create a platform that ensures scalability without fear, as the architecture smoothly accommodates increased load and scenario complexity without introducing chaos.
Conclusion
OneEntry is a holistic infrastructure addressing real—not abstract—pain points for JavaScript developers. While other tools offer wrappers and workarounds, OneEntry provides solid support: a clear architecture, predictable behavior, and peace of mind in production.
It:
- simplifies asynchronous logic and removes fragile promise chains
- minimizes supply-chain risks by eliminating unreliable dependencies
- unifies frontend development across browsers, mobile apps, and SSR
- makes testing stable and CI fast and reliable
If you want to see it in practice, start small:
- Run the reactnative-shop-demo and the Next.js demo project.
- Try integrating the SDK into your current stack.
- Experience how your development changes—less code, fewer bugs, and more focus on your product.
OneEntry doesn’t replace your approach. It makes it cleaner, safer, and faster, so you can concentrate on logic instead of struggling with tools.
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