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⚡ AI code? I make it production-ready.

Make AI-generated code production-ready – From prototype to stable application

Your AI-generated prototype has auth gaps, no logging, no tests? I make it production-ready — with clean architecture, security, and deployment.

Start your production rollout → Free AI code audit What I do
🛡️ Legacy apps stabilized
🧠 AI refactoring specialist
💸 Fixed pricing & clarity
Java 17+ React PHP 8 Spring Boot JavaScript/TS

❌ "Our AI prototype is not deployable"

❌ "Legacy PHP keeps breaking"

✅ Solution: Refactoring + modern React UIs

AI code expertise

From AI prototype to production-ready application

AI generates prototypes quickly — but not production-ready systems. I build the missing backend, security, and tests.

🏚️→🏗️

AI Prototype → Production

Database connection, API endpoints, authentication, and logging — everything an AI prototype lacks but needs for production.

Java → Spring Boot PHP → REST API React Frontend
🤖→🧑‍💻

Backend Infrastructure

Database connection, API endpoints, authentication, and logging — everything an AI prototype lacks but needs for production.

OpenAI Integration Security & RBAC Deployment Ready
🔁🧹

Code Review & Refactoring

Analysis and refactoring of AI-generated code: close security gaps, optimize performance, add tests, and prepare deployment.

React + Hooks State Management Responsive Design
AI code challenges

Problems I solve for you

  • ✖️ Non-deployable AI prototypes
  • ✖️ Code without tests, auth, or logging
  • ✖️ Unmaintainable "copy-paste" chatbot code
  • ✖️ Frontend without API and security concept

Instead: Complete production architecture with security and tests.

"I already had 3 AI prototypes built — none of them runs in the cloud."

– That is exactly where I step in.

AI production results

From AI experiment to stable application

📉 Before: PHP monolith with 12k lines, no testing, constant outages.

📈 After: API-first architecture + React dashboard, outage rate -95%.

✓ Legacy modernization in 6 weeks

🤖 Before: AI-generated React app without backend — data only in localStorage.

After: Complete Java Spring API, PostgreSQL, JWT auth + clean UI.

✓ AI integration & production rollout

AI Code — FAQs

"Why not just let ChatGPT continue?"

Because ChatGPT does not write production code. No monitoring, no security, no scaling. I turn prototypes into real products — exactly where AI stops.

"How do you ensure the code is secure?"

I perform a security audit, close OWASP Top 10 gaps, implement auth, and prepare the code for production — with tests and monitoring.

"What does production hardening of an AI prototype cost?"

Fixed price after analysis. After a free quick check of your AI code, you receive an effort estimate and implementation plan.

Portrait von Joerg Loos, Fullstack Freelancer für Legacy-Modernisierung und KI-Integration
About me

AI code refactoring specialist — from prototype to production

I specialize in making AI-generated prototypes production-ready. From quick experiment to stable, secure application — with architecture, tests, and deployment.

Stack: React, Node.js, Python, Java • Approach: pragmatic, transparent, production-focused.

AI prototype to production?

30 minutes free analysis of your AI code — I will create a production rollout plan.

Send email: kontakt@jloos.dev

or via LinkedIn / Xing — contact details on request