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
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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
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Focus on Differentiation: I spent most time on what makes FixThisBug unique:
- Educational explanations
- Bilingual support
- Privacy-focused architecture
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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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