Ready to launch your AI prototype? Here’s what you need to do first.

Your vibecoded application works. But is it ready?

AI tools make building software faster than ever. With a good prompt and tools like Claude Code, Bolt, Lovable, or Cursor, you can get a working application in a weekend. The interface is correct, the logic works; you can already demonstrate it. It feels like a breakthrough.

And it is. But there is a gap between "it works" and "it's allowed to go live."

That gap is bigger than most people expect.

A prototype generated in a few hours is built to impress. Not to withstand. The code is often not structured for maintainability. Authentication and authorization are present but rarely well thought out. Data is stored, but the question how secure they are and where exactly is not asked. There are no automated tests. There is no CI/CD pipeline. There is no log of what is running, and no plan for if something goes wrong..

That is not a criticism of the tools or the people using them. It is simply what they are designed for: coming up with an idea quickly. Not: delivering a safe, stable service to real users.

As soon as an application is actually put into use, the context changes completely. There are users with real data. There are legal obligations around privacy and security. Dependencies in the code have known vulnerabilities that are actively being exploited. And if something goes down, there is no one to pick up the phone.

We see this regularly. A startup with a strong idea and a working prototype. An internal team that quickly set something up and now wants to roll it out. An entrepreneur who has validated his concept and now wants to scale seriously. The application exists. The ambition is there. But there is no one who has made the step from prototype to production.

Smartshore does that.

We honestly assess the existing code:

• What is usable?

• What needs to be rewritten?

• Where are the risks?

We bring the application to the level needed for production use:

• Secure authentication;

• Correct data storage;

• Automated tests;

• A reliable deployment environment;

• Monitoring that keeps track of what is really happening.

We operate on our own Kubernetes infrastructure in Amsterdam, ensuring that data remains in Europe and uptime is guaranteed.

And then we keep it running. Updates are proactively implemented. Vulnerabilities are identified before they become a problem. You won't get any surprises.

The speed of AI development is an advantage you need to leverage. But the responsibility for what goes live begins the moment real people start using it. We take that responsibility seriously.