Spark Stack is an tool for building web applications through an AI-powered chat interface. Create quick MVPs and prototypes using natural language prompts. [Blog Post]
- 🤖 AI-powered code generation
- ⚡️ Real-time development environment
- 🎨 Multiple arbitrary starter templates (see
/images) - 👥 Team collaboration and management
- 📝 Git version control
- 🔄 Live preview
- 🧠 Chain-of-Thought reasoning for complex asks
- 🔌 Support for OpenAI and Anthropic models
- 📱 Multi-page app generation
- 📸 Sketch and screenshot uploads
- 🚀 Deployment to GitHub (+ Netlify, Vercel, etc)
- 🌙 Dark mode support
- 🔗 Share chats and projects publicly
- 💾 Prompt caching for cheaper responses
- 🖥️ Virtual browser logs and screenshots for debugging
See backend/config.py for the environment variables that are used to configure the app.
- Requires modal account to be created and configured.
- Requires AWS account and s3 bucket to be configured.
cd frontend && npm install && npm run devcd backend && pip install -r requirements.txt && python main.py
Railway (docker + postgres).
This project was a pressure test for writing code quickly with Cursor so I thought it was interesting to graph how it was built.
Red is my initial 2-day sprint to get an MVP (at this point it worked fully e2e but was a bit brittle). Dots are commits that I arbitrarily checkpointed as I was working on the project.
