Andriy R.

Did AI help you build your application fast — but now every new feature seems to break something else?

I specialize in Vibe Code Rescue: taking AI-generated, rapidly developed, or legacy applications and turning them into stable, maintainable, production-ready software.

I’m a senior software architect and .NET engineer with 20+ years of commercial development experience. I work particularly well with systems that already exist and already provide business value — but have accumulated technical debt, architectural problems, production bugs, or scalability limitations.

A real example

A recent client came to me with what sounded like a simple request:

Add 10 new languages to an existing website.

The application had been developed with substantial AI assistance. When I investigated the implementation, I found that the existing localization approach violated DRY (Don’t Repeat Yourself): adding more languages meant duplicating more content and language-specific logic.

It worked for the current requirements.

It would not scale to another 10 languages.

Instead of multiplying the duplication, I introduced a proper i18n architecture and refactored the application around it.

The client got the languages they needed — but, more importantly, the system now has an architecture where adding the next language does not require duplicating the application again.

You can see the production system here:

International Sommelier Guild

This is the kind of problem I solve.

I can help when:

• You built an MVP with Claude, ChatGPT, Cursor, Copilot, or another AI coding tool, but the codebase is becoming difficult to maintain.

• Your application works, but every change introduces regressions.

• AI-generated code solved individual requirements without creating a coherent architecture.

• You inherited a .NET application and need someone to understand it before making major changes.