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From AI prototype to real product

With AI tools you get quickly to a prototype that looks good and works in a demo. What is missing afterwards is publishing it, making it hold up with real users, making it secure and having someone who can maintain it.

That is what I do. I take what you already built with Lovable, Bolt, Cursor, ChatGPT, Claude or another tool, review it and finish it: deployment, performance, security and scalability. The goal is for your project to end up working like a real product.

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What's included

Project diagnosis

I review the code, the architecture and the services it uses. I give you a report with what works, what needs fixing and what is better rebuilt.

Deployment and going live

Domain, SSL, environment variables, database, email and automatic publishing, so what works on your computer works on the internet.

Performance

Slow queries, heavy images, cache, pagination and background processes, so it loads fast with real users.

Scalability

Bottlenecks, queues, connection limits and load tests, so it doesn't go down when the number of users grows.

Security

Exposed keys, authentication and permissions, data validation, database access rules and outdated dependencies.

Tests, backups and support

Automated tests on what is critical, backups, monitoring and documentation, so the project doesn't depend on a single person.

Signs you need it

  • It worked fine in testing, but in production it is very slow.
  • It goes down or freezes when more than a few users come in at once.
  • You created it with an AI tool and you don't know how to deploy it or where to host it.
  • You worry about security: keys in the code, uncontrolled access or customer data.
  • Every new change breaks something else and nobody understands the code anymore.
  • You need to go from a prototype to a product you can charge for and maintain.

technologies

  • Code audit
  • Deployment and domain
  • Performance
  • Security
  • Load testing
  • Laravel
  • Astro
  • WordPress
  • Cloudflare
  • Docker

Related projects

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How I work

  1. Diagnosis

    I review the project and give you a report with risks and priorities.

  2. Work plan

    We agree on what is kept, what is fixed and what is rewritten, with timelines.

  3. Fixes and deployment

    I fix what is critical, publish on a stable environment and set up backups.

  4. Testing and delivery

    Load and security tests, documentation and follow-up support.

Frequently asked questions

Do I have to rebuild my whole project?

Not necessarily. After the diagnosis we decide what is kept, what is fixed and what is better rewritten. Often the design and the logic are already fine, and the work is in deployment, performance and security.

Can you work with code generated by Lovable, Bolt, Cursor or ChatGPT?

Yes. I need access to the code (for example from GitHub or by exporting it) and to the services it uses. If the project depends on the platform where you built it, we look at how to take it out of there or migrate it.

Do my project and my accounts stay mine?

Yes. The code, the domain and the hosting, database and service accounts must be in your name. I work with the access you give me and you can remove it whenever you want.

Do you use AI to code too?

Yes, to analyze code, test and document. What reaches production, I review and test myself.

How much does it cost and how long does it take?

It depends on the size of the project and the state of the code. That is why I start with a short diagnosis: you know the scope, timelines and costs before deciding whether to go on with the full work.

Let's talk about your project

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