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

- ChatGPT for content creation

- 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](https://fixthisbug.de)