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