Vibe Coding Won’t Replace Engineers But It Might Expose Weak Foundations

If this showed up in your feed, take it as a sign to read it to the end — because there's an important conversation happening here that most people are avoiding.

Vibe coding is spreading like propaganda. First- and second-year students now spend more time crafting a single prompt in Claude Code than they ever spent writing code in VS Code. Whether they actually understand what's happening underneath? Doesn't seem to matter. The only goal is to push up the project count on a resume.

But most of what gets shipped through vibe coding is AI slop and little more. Every AI startup is selling you the same vision — "Vibe coding is the future" — and the reality is very different.

Let me be clear up front: my goal here isn't to turn you against AI. I just want to show you reality. So we'll cover every dimension of this — the positive impact, the negative impact, the downsides nobody mentions, and the lies you're being sold along the way.

Where the gap starts#

When I was in my third year of college and had just learned development, I went hunting for my very first bug on a real website. (Tell me in the comments where you found your first bug and what it was.)

In my case, I figured the best way to test what I'd learned was to apply it immediately — to read code written by senior developers and see if I could spot something worth reporting. So I opened a website, started reading its JS file, and found a configuration that absolutely shouldn't have been there. I reached out to the team. Without any extra context or a resume, they understood instantly that I knew what I was doing.

Vibe coders can't go out onto the web and find bugs like that. And honestly? They don't need to. Because vibe coding was never built for professionals. It was built for people who have ideas in abundance but lack the execution skill.

Think about who that actually is:

• A designer who wants to ship a landing page.
• A founder who wants to test an MVP.
• A marketer who wants a quick internal tool.

For all of them, vibe coding is a superpower. These people don't want to become engineers — they just want to get their work done quickly and efficiently. Up to this point, vibe coding is a brilliant idea.

The trap: when a shortcut becomes a career#

The problem starts when students turn the shortcut into the destination. Your goal shouldn't be to build projects. Your goal should be to understand systems. And the difference between those two things is the difference between the ground and the sky.

Here's the cleanest way I can put it:

One person uses a calculator because it makes their calculations faster. Another uses a calculator because they never learned basic math.

A lot of students are quietly drifting into the second category when they should be living in the first. Interviews test your expertise. Nobody is going to ask how good your vibe coding is, or how many apps you generated with a prompt.

We're heading toward an era where people skip the process and chase only the outcome — but meaningful results only come from the process. No matter how advanced technology gets, that rule never changes. Tools come and go. Fundamentals stay.

This isn't only the students' fault#

Companies play a huge role too. AI companies are burning billions right now purely to build a customer base. When your entire business depends on adoption, you naturally sell a vision.

They want you to believe that prompting is the future, that coding is about to become obsolete, that AI will handle everything and you'll magically become a 10x engineer.

So what's the truth?

The truth is simple. If you don't understand concepts deeply, you can't even tell the AI clearly what to build or how to build it. And if the AI makes a mistake, you can't debug the mess it leaves behind.

This is why so many vibe-coded projects look polished on the outside and are garbage on the inside:

• Authentication quietly breaks.
• Performance is terrible.
• Data structures are flawed.
• Scale it slightly and the whole system collapses.

Companies know this. They know AI isn't a replacement yet — it's an assistant, an accelerator. The real issue is that the audience these products were built for isn't adopting them as aggressively as hoped. An average person doesn't want to build an app; they just want to use one. And even people who do build don't ship a new app every other day.

So the biggest remaining market is students — because students are desperate for fast results. When output arrives without struggle, the brain naturally runs toward it, and a perception bubble forms where you feel incredibly productive without having built anything real.

The most valuable part of programming isn't coding#

It's problem solving.

The three-hour debugging session. The random documentation you had to read. The five different Stack Overflow threads you dug through for one answer. The frustration. Those are the things that turn you into a real engineer.

Vibe coding lets you skip that entire process. The result?

• Your problem-solving skill never develops.
• Your fundamentals never get mastered.
• Real engineering never clicks.

You end up in a handicapped position where you feel like you know a lot, but in reality you can't do much on your own.

Today it feels like you got fast because you built an app in two hours. But the real question is this: if you removed AI from the equation, could you build that app yourself? If the answer is no, then the speed was AI's — not yours.

In my day, people copy-pasted from tutorials too. The problem was never using tools. The problem is total dependence on them. You have a choice to make: cheap dopamine, or doing the hard work to push your skills to a master level.

Engineering is decision-making, not code generation#

A lot of students think engineering means generating code. It doesn't. Engineering means making decisions:

• Where do you optimize?
• Which architecture do you choose?
• What's more scalable?
• What's more secure?
• What's a temporary fix versus what's production-ready?

AI doesn't make these calls. A real engineer does. AI can hand you thousands of lines of code, but it can't hand you the context that only experience provides.

That's exactly why senior engineers will get more powerful with AI, not less — they already have judgment. They know what to accept, what to reject, and what to rewrite. But if beginners skip the fundamentals, they'll have nothing to leverage in the first place.

What actually stays valuable#

Frameworks will change. Languages will change. AI will keep getting more powerful. The one thing that stays valuable through all of it is your problem-solving skill.

An engineer's goal was never to be the fastest. It's to be the most reliable. Companies want people who, the moment a system breaks, can tell them: where the problem is, why it happened, and how to fix it.

In the AI era, those are the people who'll be worth the most.

So if you take one thing from this: start your real learning journey now. Use AI as a multiplier on top of fundamentals you actually own — not as a substitute for skills you never built. And that friend who keeps playing hero by spinning up an app in two minutes? Send this their way.