Vibe coding raises an important question, how do you make someone understand a risk they do not yet have the skills to see?
With AI, it is now possible to quickly create an application that looks functional and gives the impression that it is solid enough to be pushed to production.
But an application that works on screen is not necessarily an application that is ready to be used in a real-world environment.
Production is not just about saying , it works.
It also means dealing with real users, real data, errors, outages, costs, updates, backups, security, and long-term maintenance.
A program is a bit like a living organism, it evolves, it can break, it needs to be monitored, fixed, adapted, and maintained over time.
So the real question is not only whether the application works today.
The real question is:
- What happens when it stops working?
- Can it be deployed properly?
- Can it hold up over time?
- Can it be fixed, secured, monitored, and maintained?
Deploying a black box to production without anyone truly validating it is a serious risk.
Problems can appear very quickly, lost data, exposed API keys, hacked accounts, uncontrolled cloud costs, silent bugs, missing backups, or code that cannot be fixed because nobody really understands it…
Vibe coding is not bad in itself. In the hands of an experienced developer, it is a very powerful accelerator. It helps prototype faster, save time, explore solutions, and automate certain tasks.
But a developer also knows how to review, test, fix, secure, deploy, and maintain what AI produces.
In the hands of a non-developer, especially for real production use, the same tool can become risky. Not because AI is useless, but because it can create the illusion of having built a complete software product, when in reality it may only have generated a visible, fragile, and uncontrolled interface.