You've used Lovable.dev (or Bolt.new, or Replit) to generate a working prototype. It demonstrates your concept, but the code needs work before it's production-ready. A Cursor AI expert specialises in this exact transition: taking AI-generated code and turning it into professional, scalable software.
The Cursor-powered cleanup workflow
A Cursor expert uses AI assistance to accelerate the cleanup process: codebase analysis — understanding the AI-generated structure and identifying issues, architectural refactoring — restructuring components for maintainability, TypeScript migration — adding proper types where AI used 'any', security audit — identifying vulnerabilities in generated code, testing — generating and running test suites, performance optimisation — identifying and fixing bottlenecks, and documentation — creating technical docs for future developers.
What makes Cursor ideal for this work
Cursor's ability to understand and modify code across entire files and projects makes it perfect for refactoring AI-generated code. It can: rename and refactor across dozens of files simultaneously, suggest architectural improvements based on the full codebase context, identify security anti-patterns, generate missing tests, and explain what messy AI code is actually trying to do.
Cost and timeline for prototype productionization
Turning an AI-generated prototype into production code typically takes 1–3 weeks depending on complexity. Costs range from £5,000–£15,000. This is often significantly cheaper than rebuilding from scratch, and you get to keep the functional foundation while gaining production-quality architecture.
Frequently asked questions
- Is it better to clean up AI-generated code or rebuild?
- For most MVPs, cleanup is more cost-effective. Rebuilding makes sense only if the fundamental architecture is wrong or you need capabilities the AI-generated stack can't support. A Cursor expert can advise on which approach makes sense for your specific situation.