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AI code cleanup

When AI-generated projects go off the rails

AI coding tools are powerful, but they can create projects that become unmaintainable messes. Maybe your AI assistant generated code that worked initially but now breaks with every change. Maybe the architecture is so tangled that adding new features is nearly impossible. Or maybe you inherited an AI-generated codebase that nobody understands.

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Deep cleaning for complex problems

Unlike quick support sessions, AI code cleanup is comprehensive consulting work. I take a deep dive into your codebase, understand your requirements, and systematically fix the underlying issues that are holding your project back.

This isn’t about patching symptoms. It’s about rebuilding your project’s foundation so you can move forward with confidence.

What I can fix

  • Chaotic AI-generated architecture
  • Technical debt from rapid AI prototyping
  • Broken integrations and dependencies
  • Performance issues in AI-built systems
  • Unmaintainable code structures
  • Missing documentation and unclear requirements
  • Security vulnerabilities in AI code

How cleanup projects work

  1. Initial assessment: We discuss your project’s issues and goals
  2. Codebase review: I analyze your code, architecture, and requirements
  3. Cleanup plan: I provide a detailed roadmap for fixes and improvements
  4. Implementation: 1-2 weeks of focused work to restructure and repair
  5. Handoff: Documentation and guidance for moving forward

Ready to get your project back on track?

Cleanup projects require dedicated focus and deep codebase access. I typically work on these for 1-2 weeks depending on complexity, diving deep into your code to understand and fix the root problems.

If your AI-generated codebase has grown beyond quick fixes and needs comprehensive rehabilitation, let’s discuss what it would take to get you back on solid ground.

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