Vibe coding went from a tweet to a movement in about a year. It's real, it's genuinely powerful — and it has a sharp edge nobody warns you about.
If you're a founder, you've heard “just vibe-code it.” Sometimes that's great advice. Sometimes it hands you a product you can't maintain and didn't know was broken. This is the honest version — where it wins, where it fails, and how to use it without regret. It pairs with AI app builder vs. custom code.
Definition
What vibe coding actually is
Vibe coding is building software by describing what you want to an AI in plain language and letting it write the code — steering with prompts and feedback instead of typing every line yourself. The term was coined by Andrej Karpathy in early 2025 to describe leaning into the flow of working with an AI, and it caught on because it captured something true: for the first time, you can go from “I want an app that does X” to a working thing without knowing how to code.
The moment
Why it exploded
Two things collided. AI models got good enough to write real, working code from a plain-English description. And a wave of tools — AI-native editors and app builders — made that loop fast and visual. Suddenly the gap between an idea and a prototype collapsed from weeks to an evening.
Vibe coding didn't just make coding faster. It changed who gets to build at all.
That's genuinely a big deal — and it's the reason a non-technical founder can now build a real first version themselves. But “can build something” and “can build something you should ship to paying customers” are two different claims.
The upside
What it's genuinely great at
- Prototypes. Getting a working version of an idea in front of your own eyes, fast, so you can feel whether it's right.
- Interfaces. Generating clean, working UI — pages, forms, layouts — that would have taken a designer-developer days.
- Learning by doing. Watching an AI build, and asking it to explain, is one of the fastest ways to actually understand how software fits together.
- Momentum. The single hardest thing in a startup is getting the first real thing to exist. Vibe coding demolishes that barrier.
Used for these, it's not a shortcut — it's just the modern way to work. Every serious builder uses AI this way now.
The catch
Where it quietly breaks
Here's the part the hype skips. AI is brilliant at the first 80% — the visible, happy-path parts. It thins out on the last 20%, which happens to be the 20% that decides whether you have a business:
- Security. The AI may generate an app that works and is quietly wide open — missing the rules that stop one user reading everyone's data. You can't see it in your own testing.
- Maintainability. As the app grows, AI-generated code you don't understand becomes a tangle you can't safely change — and the AI itself starts breaking things it built earlier.
- The hard stuff. Payments, scale, data isolation, compliance — the parts that must be exactly right — are exactly where unsupervised AI code is least reliable.
The danger isn't that vibe coding produces bad code. It's that a non-technical founder can't tell when it did.
The method
How to vibe-code without shipping a liability
The answer isn't to avoid it — it's to own what you ship. Three rules:
- Build on a stack you own, not inside a black box. Vibe-code on standard, portable code (Next.js, Supabase) in your own GitHub — so what you build is a real asset, not a rental you can't extract.
- Understand as you go. Ask the AI to explain what it wrote in plain English. You don't need to write code, but you should be able to follow what yours does.
- Respect the 20%. Use vibe coding for the 80% — prototype, UI, the core loop — and treat security, payments, and scale as the serious work they are. Get them right, or bring in someone who can.
That's the whole approach in how to build an MVP: use AI to build fast, but build something you own and understand. And when you hit the hard 20% and want it done right, that's exactly what Godelian is for.
