Everyone's freaking out about AI replacing developers. Tech Twitter is having a meltdown, LinkedIn is full of "adapt or die" posts, and every other article claims ChatGPT will write better code than you. So naturally, I decided to put these AI tools to the test with real frontend work.

Spoiler alert: I'm not worried about my job anymore.

My AI Experiment: From Hype to Reality

Round 1: Image to Code with ChatGPT

I started with what seemed like a simple task - gave ChatGPT an image and asked it to generate the code. The result? Not even close. The layout was off, the styling was generic, and it completely missed the nuances of the design.

Okay, maybe I was being too ambitious. Let me try something simpler.

Round 2: Angular Migration

I had some Angular code using the old *ngIf syntax. Angular 19 introduced the new @if feature, so I asked ChatGPT to convert it. Easy enough, right?

Wrong. It literally just replaced the name *ngIf with @if in the same line. That's not how it works. It didn't understand the syntax change at all - just did a dumb find-and-replace that wouldn't even compile.

Round 3: The UI Generation Experiment

Then I tried the tools everyone's raving about - Lovable, v0, Gemini. I asked them to build me an app with specific functionality.

The good news? The functionality worked.

The bad news? The UI was a designer's nightmare.

Heavy gradients everywhere. Rounded corners so extreme they looked like pills. Every button looked like it was trying too hard. And here's the kicker - all the AI-generated UIs looked exactly the same. After seeing a few, I could instantly tell what was AI-generated and what was built by an actual person.

It's like they all went to the same design school that only taught "make everything look like a startup landing page from 2023."

Round 4: The CSS Battle Challenge

This is where it got interesting. I gave AI a CSS Battle challenge - you know, those where you need to recreate an image using pure CSS.

AI completely bombed it. Generated some random code that didn't even come close. Meanwhile, I could look at the image and figure out how to build it with CSS.

That's when it hit me: I can make these images with CSS. AI can't.

The Real Problem with AI-Generated UIs

Here's the thing - if you're a non-technical person and AI generates a working UI for you, you'll probably be happy. It works, it looks decent enough, and you didn't have to code anything.

But if you have a clear picture in your head of what the UI should look like? You're going to be disappointed.

AI doesn't understand:

• Brand identity
• User psychology
• Subtle design decisions that make interfaces feel right
• When to use restraint instead of adding more effects
• The context of your specific users and their needs

A simple black text with the proper size and proper font is far better than heavy gradients and over-designed components. Understandable UI beats "good looking" UI every single time.

Where AI Actually Helps

Don't get me wrong - AI isn't useless. It's just not replacing us anytime soon.

AI is great for:

• Automating repetitive tasks: Instead of manually applying the same styling to every form field, just hand a few examples to AI and let it generate the rest for you, saving time for actual problem-solving
• Code completion: Writing boilerplate faster
• Debugging help: "Hey, why is this throwing an error?" - AI can help spot obvious issues
• Learning: Asking it to explain concepts or approaches

But here's the catch: You need to know enough to verify what AI gives you.

What Actually Matters: The Fundamentals

After all my experiments, I realized something important: Mastering fundamentals is what separates good developers from people who just prompt AI.

If you don't know how to align items on a page, you'll suffer trying to make AI understand the type of layout you need. You'll waste more time fighting with AI prompts than if you just coded it yourself.

Attention to detail is what makes UI good, not AI generation.

Things AI can't replace:

• Understanding flexbox and grid properly
• Knowing when to use semantic HTML
• Writing accessible code
• Making performance optimizations
• Debugging production issues with real users
• Understanding the "why" behind design decisions
• Refactoring messy legacy code

My Take: AI is a Tool, Not a Threat

Look, AI is changing frontend development. But it's not replacing it.

Think of it like Stack Overflow or documentation - it's a tool that makes us faster at certain tasks. It helps with the boring stuff so we can focus on the interesting problems.

If AI can do your entire job, you weren't doing much of a job anyway. The real skill isn't typing code - it's knowing what to build, understanding users, making design decisions, and writing maintainable code that other humans can work with.

AI makes bad developers slightly faster. It makes good developers much faster.

So instead of panicking, I'm doubling down on:

• Understanding my fundamentals better
• Learning what makes good UX (not just UI)
• Getting better at problem-solving and architecture
• Improving my ability to understand user needs

Because those are the things that actually matter. Those are the things AI can't do.

Final Thoughts

Will AI get better? Absolutely.

Will it eventually generate better UIs? Maybe.

But will it understand your users, make nuanced design decisions, write maintainable code, and solve complex problems? Not anytime soon.

So keep learning, keep building, and use AI as the tool it is - not as the replacement everyone fears.

Your job is safe. Well, as long as you're actually good at it.

Enjoyed the Read?

If this blog helped you feel a little less worried about AI or at least made you smirk while refactoring your 17th <Button /> component, consider buying me a coffee:

coff.ee/ashishgogula (opens in new tab)

I promise I’ll only spend it on:

• Debugging fuel (a.k.a. caffeine)
• Premium fonts I’ll never actually use
• And definitely not on yet another state management library I’ll abandon halfway through 😌

Thanks for reading — and remember: AI can autocomplete code, but it can’t autocomplete taste.