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To Vibe or Not to Vibe

Why AI powered “vibe coding” is brilliant for prototypes... and a trap for everything after

There’s a growing idea in product development that you can “just vibe it”.

Give an AI a description, let it generate some code, wire a few things together, and you’ve got a working prototype before lunch. And to be fair, this isn’t wrong. The new wave of AI powered tools makes it faster than ever to spin up proof of concepts, validate assumptions and get something real in front of users.

For POCs and even early MVPs, this is gold. You reduce cost, shorten timelines and unlock momentum. You learn faster. You ship faster. You iterate faster. The speed is intoxicating.

But here’s the part nobody talks about.
The moment your prototype becomes a product, “vibe code” becomes a liability.

Because unless you deeply understand architecture, data modelling, security, edge cases and how to scale the thing, AI generated code tends to drift into spaghetti. Functions call other functions for no clear reason. Logic hides inside prompts. Responsibilities blur. State management becomes a guessing game. Before you know it, you’ve built something that works today but fights you tomorrow.

The danger isn’t AI. The danger is skipping the engineering discipline that turns something clever into something durable.

So to vibe or not to vibe?
The answer is both.

Vibe when you need speed. Use AI to explore ideas, unblock thinking and rapidly assemble POCs that help you learn. But when the idea proves itself, slow down. Introduce structure. Refactor. Add proper patterns. Treat the system like it matters, because at that point, it does.

AI is a multiplier. If your architecture is clean, it accelerates you. If it’s messy, it multiplies the mess.
The teams that win will be the ones who know when to let AI move fast, and when to apply real engineering discipline to make something that lasts.

And this is where having the right partner genuinely matters.

Anyone can spin up a prototype with AI now. The question is whether that prototype can survive contact with real users, real volumes and real complexity. Most can’t, because the foundations were never built with production in mind.

At Doddle, we specialise in navigating that fragile early stage. We let you move quickly, experiment freely and harness AI to get working ideas in days. But we pair that speed with the architectural discipline, engineering patterns and technical judgement that make a product scalable, secure and maintainable long after the prototype phase.

You get the best of both worlds.
The momentum and creativity of AI powered building, with the confidence that nothing you are doing today will trap you tomorrow.

If you’re going to vibe, vibe with someone who actually knows what they’re doing.
That’s how you turn a clever idea into a platform that lasts.