I Made Doddle: 5 Game-Changing Async Helpers for 2025
Discover Doddle, a new JavaScript library with 5 game-changing async helpers for 2025. Simplify concurrency, retries, timeouts, and more. Boost your code quality!
Alexei Petrov
Senior Software Engineer specializing in Node.js, TypeScript, and performance optimization.
Introduction: The Async Abyss
If you've written any modern JavaScript or TypeScript, you know the deal. It starts with a simple promise, then evolves into a chain of .then()
calls. Soon, you're wielding async/await
like a pro, feeling invincible. But then, the real world hits. You need to run a thousand API calls without crashing the server. You need to gracefully handle a flaky network. You need to prevent a single slow function from freezing your entire application. Suddenly, you're knee-deep in a complex web of custom logic, managing arrays of promises, writing recursive retry functions, and racing timeouts. The clean, linear-looking code of async/await
has become a facade for the chaos underneath.
This was my reality. I was tired of rewriting the same boilerplate for concurrency limiting, exponential backoff, and robust promise handling across different projects. Existing libraries were often too heavy, too complex, or didn't quite fit the ergonomic ideal I had in my head. So, I did what any slightly obsessed developer would do: I built my own solution. I call it Doddle, because handling complex async operations should be, well, a doddle.
Today, I'm sharing the five core helpers from Doddle that I believe will be game-changers for how you write asynchronous code in 2025 and beyond.
Why Doddle? The Quest for Simplicity
Before we dive into the helpers, let's address the elephant in the room: "Do we really need another JavaScript library?" My answer is a resounding yes, but with a caveat. Doddle isn't trying to be a massive, all-encompassing utility belt like Lodash. It has one focus and one focus only: making common, yet complex, asynchronous patterns simple, readable, and robust.
The philosophy behind Doddle is:
- Zero Dependencies: It's lightweight and won't bloat your
node_modules
. - TypeScript First: Written in TypeScript for rock-solid type safety that improves your developer experience.
- Ergonomic API: The function names and parameters are designed to be intuitive and easy to remember.
- Focus on the 90%: It solves the most common async challenges you face in 90% of web and Node.js applications.
Doddle is the tool I wish I had five years ago. Now, let's see what it can do.
The 5 Game-Changing Async Helpers
1. Tame the Flood with `doddle.pool()`
The Problem: You have an array of 500 URLs to fetch. If you use Promise.all(urls.map(fetch))
, you'll unleash 500 concurrent requests, potentially overwhelming your own server, hitting API rate limits, or crashing a browser tab. You need to process them in controlled batches.
The Doddle Solution: The pool
helper runs your async tasks with a fixed concurrency limit. It's like a bouncer for your promises, only letting a few in at a time.
import { doddle } from 'doddle-async';
const tasks = Array.from({ length: 100 }, (_, i) => () => fetch(`https://api.example.com/items/${i}`));
// Only 5 tasks will run concurrently
const results = await doddle.pool(tasks, 5);
console.log(`${results.length} tasks completed successfully!`);
It's that simple. You provide the tasks (as an array of functions that return promises) and a concurrency number. Doddle handles the entire queueing and execution process, ensuring smooth and predictable performance.
2. Build Resilience with `doddle.retry()`
The Problem: Networks are unreliable. APIs can have momentary blips. A request that fails once might succeed on the second or third try. Writing a robust retry mechanism with proper exponential backoff and jitter (to avoid thundering herd problems) is surprisingly tricky to get right.
The Doddle Solution: The retry
helper wraps any promise-returning function and automatically retries it on failure.
import { doddle } from 'doddle-async';
const fetchFlakyApi = async () => {
// This function might fail randomly
const response = await fetch('https://flaky-api.example.com/data');
if (!response.ok) throw new Error('API Error');
return response.json();
};
try {
// Try up to 3 times with exponential backoff
const data = await doddle.retry(fetchFlakyApi, { retries: 3, factor: 2 });
console.log('Got the data:', data);
} catch (error) {
console.error('Failed after all retries:', error);
}
You get fine-grained control over the number of retries, the backoff factor, and more, all without the messy `for` loops and `setTimeout` wrappers cluttering your business logic.
3. Escape Hanging Promises with `doddle.timeout()`
The Problem: What happens when an async operation just... never finishes? A network request that hangs, a database query that gets stuck. This can lock up resources and leave your users staring at a loading spinner forever. Promise.race
is the native way to handle this, but it can be a bit verbose to set up every time.
The Doddle Solution: The timeout
helper is a clean wrapper that rejects a promise if it doesn't resolve or reject within a specified time.
import { doddle } from 'doddle-async';
const verySlowOperation = () => new Promise(resolve => setTimeout(resolve, 10000));
try {
// If the operation takes more than 2 seconds, it will throw an error
await doddle.timeout(verySlowOperation(), 2000);
} catch (error) {
console.error(error.message); // 'Operation timed out after 2000ms'
}
This is essential for building fast, responsive applications that can gracefully handle unresponsive external services.
4. Get Clarity with `doddle.allSettledWithSummary()`
The Problem: Promise.allSettled
is fantastic for running multiple operations where you don't want a single failure to stop everything. However, you're left with an array of result objects that you have to manually iterate over and separate into `fulfilled` and `rejected` piles. It's repetitive boilerplate.
The Doddle Solution: allSettledWithSummary
does the work for you, returning a structured object with the results pre-sorted and a handy summary.
import { doddle } from 'doddle-async';
const promises = [
Promise.resolve('Success!'),
Promise.reject('Failure!'),
Promise.resolve('Another success!'),
];
const { fulfilled, rejected, summary } = await doddle.allSettledWithSummary(promises);
console.log('Fulfilled values:', fulfilled); // ['Success!', 'Another success!']
console.log('Rejection reasons:', rejected); // ['Failure!']
console.log('Summary:', summary); // { total: 3, fulfilledCount: 2, rejectedCount: 1 }
This makes your result-handling code dramatically cleaner and more expressive.
5. Master User Input with `doddle.debounceAsync()`
The Problem: Debouncing is a classic technique for rate-limiting function calls, perfect for things like search-as-you-type input fields. But a standard debounce from a library like Lodash isn't async-aware. It doesn't wait for your promise-based function (like an API call) to resolve before allowing the next one. This can lead to race conditions where old results arrive after new ones.
The Doddle Solution: debounceAsync
is specifically designed for debouncing functions that return promises. It ensures that only the latest API call is considered and that its promise is properly handled.
import { doddle } from 'doddle-async';
const searchApi = async (query) => {
const res = await fetch(`https://api.example.com/search?q=${query}`);
return res.json();
};
// Create a debounced version of our API search function
const debouncedSearch = doddle.debounceAsync(searchApi, 300);
// In your event listener
inputElement.addEventListener('input', async (e) => {
const results = await debouncedSearch(e.target.value);
if (results) {
// This will only be the results from the *last* invocation
updateUI(results);
}
});
This helper finally solves the async debounce problem in an elegant, easy-to-use way.
Doddle vs. The World: A Quick Comparison
How does Doddle stack up against native promises or other popular libraries? Here's a high-level look:
Feature | Native Promises | Popular Libs (e.g., Lodash) | Doddle |
---|---|---|---|
Concurrency Pool | No (Manual implementation required) | No (Requires specialized library like p-limit) | Yes (`doddle.pool`) |
Exponential Retry | No (Manual implementation required) | No | Yes (`doddle.retry`) |
Promise Timeout | Verbose (`Promise.race`) | No | Yes (`doddle.timeout`) |
Settled Summary | No (`Promise.allSettled` requires manual parsing) | No | Yes (`doddle.allSettledWithSummary`) |
Async-Aware Debounce | No | No (Standard debounce is not promise-aware) | Yes (`doddle.debounceAsync`) |
The Future of Doddle
This is just the beginning. Doddle is an open-source project, and I have a roadmap that includes more helpers for things like memoization, task queues with priority, and improved cancellation tokens. The goal is to keep it lean but powerful, a trusted companion for any developer working in the asynchronous world of JavaScript. I welcome contributions, feedback, and ideas from the community to make it even better.
Conclusion: Make Async a Doddle
Modern JavaScript has given us powerful tools with async/await
, but the primitives alone aren't always enough to build the robust, resilient, and performant applications we need. Doddle bridges that gap. It's not about replacing the language features we love; it's about enhancing them with battle-tested patterns wrapped in a simple, developer-friendly API.
By abstracting away the complexity of concurrency, retries, and timeouts, you can focus on what truly matters: your application's logic. Give Doddle a try in your next project. I'm confident it will clean up your code, prevent bugs, and make your life as a developer just a little bit easier.
You can find Doddle on npm and check out the source code on GitHub.