Vibe coding is one of the fastest-growing ways to build an application today. You describe what you want, and an AI tool like Claude, Cursor, Bolt or Lovable generates a working application — complete with a database, login and custom logic — in minutes. It works. On localhost. But what happens when you actually want to run it for real clients or employees?
Localhost vs. production — a different world
When an application runs on your own computer, everything looks fine. The database responds, login works, forms save data. The problem is that localhost is a lab, not production.
There is a gap between "it works on my machine" and "it works on the internet for real users" — and AI tools rarely mention it.
What AI-generated applications often do not handle
The database. Locally you might be running SQLite or Postgres in Docker, and everything seems fine. In production, you need a database that is backed up, secured, and available around the clock — not a file sitting on your hard drive.
Hardcoded API keys and sensitive data. This is a surprisingly common issue. AI tools often place an API key — for a payment gateway, an email service or an AI API — directly in the code, because "that's how it works". If this code is pushed to a public GitHub repo or deployed as-is, the key becomes exposed to anyone.
Login and user accounts. A working login form does not automatically mean secure authentication. Passwords need to be properly hashed, sessions need to be secured, and permissions (who can see what) need to be handled correctly — these are exactly the things AI often generates in a simplified way, or skips entirely.
What happens under real load. An application that handles one user on localhost just fine can behave very differently once ten people start using it at the same time.
Backups and recovery. What happens if something goes wrong and data gets lost? On localhost, it doesn't matter much. In production, it's a critical question.
This doesn't mean vibe coding is a bad idea
Quite the opposite — as a way to quickly validate an idea or build a working prototype, it's excellent. The problem arises when a prototype starts being used as a real application without going through these checks first.
How I solve this
If you have an AI-generated application that works locally and you want to run it safely for real use, I can help with:
- Security review of the code — finding exposed secrets, unprotected endpoints and other risky areas
- Setting up a production database — data migration, backups, secured access
- Configuring environment variables — moving API keys and sensitive data where they belong
- Deploying to hosting — for smaller projects I work with Wedos, for larger ones with a VPS
- Adding an admin interface — if the application needs a way to manage content or users, I'll build it with EasyAdmin
The result is an application that looks and works exactly as you designed it — but is secure, stable, and ready for real-world use.
How much does it cost
It depends on the scope and current state of the application:
| What you need | Approximate price |
|---|---|
| Security review and basic deployment prep | from 8,000 CZK |
| Deploying an application with a database to production hosting | from 12,000 CZK |
| Adding admin panel, user accounts, roles | from 20,000 CZK |
The exact price is always determined after a short consultation and a look at the specific project.
Have an AI-built application and want to run it safely?
Send me a message describing what you have. A link to a repository or a description of what the app does is enough to get started — together we can figure out what needs to be done.