The Vibe Coding Trap

Vibe coding isn't a method. It's an absence of one.

You describe what you want, the AI builds it, you ship it. Fast, frictionless, impressive to watch. And completely hollow - because nothing in that process required you to think, to own, to understand what you were making or why.

The technical barrier to building is gone. That's genuinely remarkable. But the thinking barrier was never technical. And that one hasn't moved.


Here's what building with AI actually feels like when it's working.

It's a jigsaw puzzle. A fine painting, not a broad brush. You have something in front of you and you own it piece by piece. The AI suggests, you evaluate. You push back, it counters. You kick the tyres, you iterate, you watch a bit of functionality become yours - not the AI's, not a generated approximation of what you described, but the actual thing you had in mind.

When the AI pushes back you listen - the way you'd listen to a senior colleague or a domain expert who sees something you've missed. Then you push back yourself. You hold your vision against theirs. Sometimes the AI is right. Sometimes it's just agreeing because that's what it does. The only way to know the difference is to have a vision strong enough to test against.

That's the part vibe coding skips. Not the code. The vision.


The trap isn't laziness, exactly. It's engagement deficit.

You're tired. You have an idea. You want to make a start. The AI is right there, ready, capable of producing something that looks finished in minutes. So you let it run. You read the output at half-speed. You say yes to the suggested architecture because it sounds reasonable and you're not sure enough of your own judgement to say no.

Six weeks later you have a product that looks like a product. It just doesn't feel like yours. Because it isn't.


The useful version of AI-assisted building looks different. You use it to make a start when you're not sure how. To explore an idea before committing to it. To pressure-test a decision you've already made with your own thinking. Then you take over. You shape it. You iterate until the thing in front of you matches the thing in your head.

That transition - from AI output to owned product - is where the real work happens. It's slow. It requires trust in your own vision even when the AI is confidently suggesting something else. It requires knowing what you're building well enough to recognise when a suggestion is right and when it just sounds right.

The vibe coders skipped that transition. They got the output without the ownership.

And you can see it. Immediately. In the positioning that doesn't quite land. The onboarding that doesn't guide. The product that looks finished from a distance and falls apart up close.

Not because the code is bad. Because nobody ever decided what it was supposed to be.


Steve Drew is the founder of ka-do — built for doing, not organising.

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