Vibe coding cleanup: get your AI-built product ready to scale

I help founders whose AI-built product has real users but breaks under the weight of its own code. I find what will fail first, fix it, and bring the codebase to a shape where you can ship features and scale fast again.

It does not matter if it was built with Lovable, Bolt, Replit, v0, Cursor or Claude Code: the problems are the same, and so is the way out.

You need this if

• The product works in the demo, but real users find bugs every week.
• Every fix breaks something else, and nobody, the AI included, understands the code anymore.
• You suspect security holes: exposed keys, weak authentication, data that any user can read.
• Your cloud bill grows faster than your users.
• You want to hire developers or raise money, and the codebase would not survive a technical review.

What you get

• Audit: a written report on security, data, architecture, costs and code quality, with priorities.
• Security first: the critical holes closed before anything else.
• Tests around what matters: the flows that make you money are covered before anyone touches them.
• Order: a consistent architecture, clear boundaries and infrastructure as code, refactored step by step while the product stays live.
• Guardrails: Claude Code skills and CI checks, so new code, written by people or by AI, does not bring the mess back.

How it works

1. Call. You tell me about the product, the users and what is breaking.
2. Audit. I read the code and the infrastructure and give you a prioritized plan.
3. Cleanup. I fix things in order of risk, without stopping your releases.
4. Handover. Your team, or your AI, keeps going on a clean base.

Why me

• At Veliu I moved projects vibe coded with Lovable to Claude Code with dedicated skills, and rewrote and optimized the development workflow and the CI that non-technical people used to build their software.
• I have built and scaled production systems from first commit to exit: at brumbrum the platform served 10M+ requests/day on less than €100k/year of infrastructure.
• I have led a 30-person tech organization, so I know what a codebase needs before you start hiring.
• I work hands-on: I read and fix the code myself.