The Problem
You used AI tools to write code. Cursor, Claude, ChatGPT, Copilot. The code works in development, but shipping it to production is a different story. There are security holes you cannot see, performance issues that only appear under load and architectural decisions that will cost you later. Most AI-generated code is 70-80% there, however that last 20% is where the expertise matters, to bring it to a viable product.
What We Do
How We Help
We review AI-generated codebase, identify the gaps, and fix them. Our team has shipped production code for over 20 years. We know what AI misses: edge cases, security patterns, performance bottlenecks, and maintainable architecture. You get code that works under real-world conditions, not just in development.
What You Get
How It Works
Code Review
We analyse codebase for security, performance, and architecture issues
Security Audit
Automated scanning plus manual review of authentication, authorisation, and data handling
Refactoring
We restructure problem areas while preserving working functionality
Deployment
We assist the launch to production with proper CI/CD and monitoring
Codebridge Your AI Prototypes
Tell us about your project and we will let you know if we can help