Vibecoding: when AI writes the software. An opportunity and a trap for business

“Vibecoding” is one of the most talked-about words in tech in recent months. You describe what you want to an AI, and it writes the program – without you seeing a single line of code. It sounds like a dream. It is an opportunity, but also a trap. Let’s break it down.

What vibecoding is

The term “vibe coding” was popularized in early 2025 by Andrej Karpathy (co-founder of OpenAI). The idea: you do not write code, you describe intent in natural language and the AI generates the application. “You forget the code even exists” – you just say what you want and watch the result.

Thanks to tools like Replit, Cursor or v0, literally anyone can now build a working app prototype in an afternoon. And that is a huge shift.

Why it is so tempting

• Speed. An idea in the morning, a clickable prototype by evening. What took weeks now takes hours.
• A low barrier. You do not need to be a programmer to show an idea.
• Cheap experimentation. You test 5 ideas for the price of what used to buy one.

Where vibecoding works great

I will admit it – at Websy we actually use vibecoding. Every project starts with a fast prototype that shows the client the design and functionality before a line of production code is written. The client sees and approves the direction in days, not weeks. This is the ideal use:

• Prototype and idea validation – check whether a product makes sense before you invest.
• Internal tools – a simple app for a few people on your team, where lives are not at stake.
• Client presentation – a tangible demo instead of slides.

Vibecoding is fantastic for quickly figuring out WHAT to build. But whether it holds up in real operation is an entirely different discipline.

Where vibecoding fails

The trouble starts when a prototype is meant to become a live product your business depends on. AI produces something that “works on the first click”, but under the hood it often lacks what decides whether it collapses on you in six months:

• Security. Vibecoded apps often contain holes through which an attacker can reach your customers’ data. AI thinks about making it work – not about making sure no one abuses it.
• Scaling. What runs for 10 people falls apart at 10,000. Database, performance, cost – these must be designed, not guessed.
• Maintainability. When nobody understands how it is put together, every change is a gamble. Technical debt is repaid dearly.
• Edge cases and law. What happens on a failed payment? Does it meet GDPR? A prototype does not think about these questions.

Vibecoding vs professional development – it is not either/or

The biggest mistake is to pit “AI coding” against “real development”. In practice they complement each other best:

1. Vibecoding at the start – quickly figure out what you want and test it on real people.
2. A professional hand at the end – the validated prototype is rewritten into clean, secure and scalable production code.

This is exactly how we work. The prototype is our language with the client; the production code is what we hand over. The client gets both speed and certainty.

How to use it sensibly in your company

• Use vibecoding for ideas and prototypes, not for what handles payments and personal data.
• Never put a vibecoded app into live operation without someone experienced going over it – especially the security.
• Treat the prototype as a brief, not a final product. It is the best way to tell a vendor exactly what you want.

Conclusion

Vibecoding is a great servant but a bad master. It speeds up ideas and makes experimentation cheap – and that is its strength. But a business you care about deserves to have its foundation built by someone who understands what happens under the hood.

At Websy we combine both: the speed of a prototype and the craft of production development. Have an idea you want to validate fast and then build properly? Get in touch.