Understanding Async/Await Like You're 5 🧸

Yasir Abbas — Thu, 02 Apr 2026 01:59:28 +0000

Understanding Async/Await Like You're 5 🧸

If fetch().then().catch() feels like a tangled spaghetti plate, don't worry. Async/await is JavaScript's cleaner, more readable way to handle waiting.

🍕 The Restaurant Analogy

Synchronous (Old Way): You order at the counter and stand frozen in place until your pizza is ready. You can't talk, check your phone, or do anything else until it's handed to you. That's blocking code.

Asynchronous (Async/Await): You get a buzzer. You walk away, chat, scroll your phone, and when it buzzes, your pizza is ready. The rest of your life keeps moving while you wait. That's non-blocking code.

🔑 How It Works

Two keywords make this magic happen:

async: Tells JS, "This function will wait for things."
await: Says, "Pause just this line until it's done, but let everything else keep running."

💻 The Code (Clean & Simple)

// ❌ Messy Promise Chain
fetchData()
  .then(res => res.json())
  .then(data => console.log(data));

// ✅ Clean Async/Await
async function getData() {
  try {
    const response = await fetch('https://api.example.com/data');
    const data = await response.json();
    console.log('Got it!', data);
  } catch (err) {
    console.error('Oops:', err);
  }
}

🧠 Quick Rules

await only works inside async functions.
Wrap await in try/catch to handle errors gracefully.
Your app stays responsive. No frozen screens!

🚀 Wrap Up

Async/await isn't magic. It's just a promise chain with better syntax. Think of it like a waiter who takes your order, lets you relax, and brings the food when it's ready. Clean, readable, and fast.

What's your biggest async headache? Drop it below! 👇

Dear Beginner Dev: No, AI Is Not Taking Your Job. But Ignoring It Might.

Yasir Abbas — Sun, 29 Mar 2026 21:34:55 +0000

You just wrote your first for loop. You're proud of it — you should be. Then you open Twitter and see a senior engineer declaring, with full confidence, that AI will replace all software developers within 12 months.

Congratulations. You've just experienced one of the most reliable traditions in tech: the breathless, recurring announcement that programmers are obsolete. We had this conversation when Stack Overflow launched. When no-code tools took off. When GitHub Copilot shipped. We're having it again now, louder.

Here's what I want to tell you honestly, as someone who has watched this field for a while: the fear is understandable, the timeline is wildly exaggerated, and there is a real and practical path forward for you.

"The tools are changing. The need for human judgment, creativity, and accountability is not."

What AI actually does today

Let's be clear-eyed. AI coding tools are genuinely impressive and genuinely useful. They can autocomplete boilerplate, generate test cases, explain error messages, scaffold CRUD endpoints, and help you rubber-duck debug at 2am without bothering a colleague. These are real productivity gains.

What they struggle with is everything that requires context: understanding a decade-old codebase, navigating org politics to know why a system was built a certain way, making judgment calls about tradeoffs, communicating with non-technical stakeholders, and taking responsibility when something breaks in production. None of that is going away.

Reality check: The engineers predicting "full AI replacement in 1 year" have been saying this — with different timelines — for the past five years. Bold predictions get engagement. Nuance doesn't trend.

What you should actually do

Here's the practical part. The field is changing, and the right response isn't panic — it's deliberate skill-building. Think of it in four areas:

01 — Master the fundamentals
Data structures, algorithms, how the web works, how databases think. AI can generate code; understanding why it works is what separates you from the prompt.

02 — Learn to use AI as a tool
Don't avoid Copilot or Claude out of principle. Learn to use them well — and more importantly, learn to critically evaluate what they produce. The skill is judgment, not keystrokes.

03 — Build real things
Projects beat tutorials every time. Break things, fix them, ship them. The experience of owning something end-to-end is irreplaceable by any model.

04 — Develop soft skills early
Communication, documentation, asking good questions, estimating work. These compound over a career and are the hardest things to automate.

A note on the "one year" claim specifically

Software development is not a single job. It is hundreds of micro-disciplines: embedded systems, accessibility engineering, security research, developer tooling, data pipelines, mobile, systems programming, platform engineering. Each has deep specialization. "AI will replace developers in a year" is roughly as specific as "robots will replace workers" — technically directional, practically useless for planning.

What is changing is which parts of the job take the most time. The junior developer who spent 60% of their day writing boilerplate will not do that in five years. But the developer who understands systems deeply, communicates clearly, and can make good decisions under ambiguity? That person has never been more valuable.

"The question isn't whether AI will change your job. It will. The question is whether you'll be the developer who uses it, or the one who is surprised by it."

The honest truth about being a beginner right now

It is actually a remarkable time to be starting out. The tooling available to beginners today would have seemed like magic five years ago. You can get instant explanations of confusing code. You can spin up a working prototype in an afternoon. You have access to better documentation, better communities, and more learning resources than any previous generation of developers.

The bar for entry is lower in some ways, which means you can get to interesting problems faster. And the bar for staying relevant is higher in others, which means you have to keep learning. That second part has always been true in this field.

The one thing worth internalizing: Software development has never been just about writing code. It has always been about solving problems, working with other humans, and making systems that don't fall over. Focus there. The syntax will change. The problems won't.

Where to focus your energy right now

If you're a beginner and want a concrete direction: pick one area and go deep rather than skimming everything. Understand how the internet works. Learn to read documentation instead of just copy-pasting. Finish a project — even a small one — from idea to deployment. Start building a habit of reading other people's code, not just writing your own.

The developers who thrive in the next decade will be those who combine domain expertise with the ability to work effectively alongside AI tools — not those who either ignore AI or outsource their entire thinking to it.

You are not behind. You are at the beginning. That is exactly where you should be.

Drop a comment if you're a beginner dev navigating this. You're not alone — and the community is worth being part of. 👇

DEV Community: Yasir Abbas

Understanding Async/Await Like You're 5 🧸

Understanding Async/Await Like You're 5 🧸

🍕 The Restaurant Analogy

🔑 How It Works

💻 The Code (Clean & Simple)

🧠 Quick Rules

🚀 Wrap Up

Dear Beginner Dev: No, AI Is Not Taking Your Job. But Ignoring It Might.

What AI actually does today

What you should actually do

A note on the "one year" claim specifically

The honest truth about being a beginner right now

Where to focus your energy right now