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Building FixThisBug.de MVP in 7 Days: An AI-Assisted Journey

Let's be transparent: building an MVP in 2024 looks different than it did five years ago. Here's how I leveraged modern AI tools to build FixThisBug.de in just one week.

Day 1-2: Foundation and Setup

  • Used Next.js 15 with App Router for the foundation
  • Leveraged Windsurf IDE's AI pair programming for rapid prototyping
  • Set up authentication and basic UI components using shadcn/ui
  • Added supabase for fast auth and data storage
  • Cursor AI helped generate boilerplate code and basic layouts

Day 3-4: Core Functionality

  • Built the code analysis engine with AI assistance
  • Implemented vLLM setup on selfhosted gpu server
  • Implemented the explanation generator
  • Used Windsurf's code generation for repetitive tasks
  • Added bilingual support (EN/DE) using next-intl

Day 5-6: Polish and Testing

  • Enhanced UI/UX with Tailwind CSS
  • Added error handling and input validation
  • Implemented rate limiting and user quotas
  • Set up hosting on German servers for GDPR compliance

Day 7: Launch Prep

  • Created landing page content
  • Set up analytics and monitoring
  • Added documentation and help sections
  • Deployed and tested in production

Key Takeaways

  1. AI as a Multiplier: Tools like Windsurf and Cursor didn't replace thinking - they accelerated implementation. They're best at:

    • Generating boilerplate code
    • Suggesting implementation patterns
    • Catching potential issues early
    • Handling repetitive tasks
  2. Focus on Differentiation: I spent most time on what makes FixThisBug unique:

    • Educational explanations
    • Bilingual support
    • Privacy-focused architecture
  3. Don't Skip the Basics: Even with AI help, you need:

    • Clear product vision
    • Solid architecture decisions
    • Security considerations
    • User-focused design

Tools That Made It Possible

  • Windsurf IDE for AI pair programming
  • Cursor for rapid code generation
  • Selfhosted Ollama instance for content creation
  • Vercel for deployment

The key was using AI tools strategically - not as a crutch, but as accelerators for well-thought-out features. They handled the routine work while I focused on the core value proposition.

Remember: AI tools are incredibly powerful, but they're just that - tools. The vision, architecture decisions, and user experience still need human insight.

Want to see the result? Check out FixThisBug.de

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