AI Apps Break at Scale
Your vibe-coded app works great with 10 users. At 1,000, it slows down. At 10,000, it breaks. Here's the scaling roadmap.
100 Users: Fix the Basics
- Add database indexes on frequently queried columns
- Implement pagination (Supabase range queries)
- Compress and optimize images
- Add a CDN for static assets
1,000 Users: Optimize Data
- Implement React Query caching with proper stale times
- Add connection pooling for Supabase
- Use server-side pagination and filtering
- Implement rate limiting
10,000 Users: Architecture Changes
- Move heavy logic to serverless functions
- Implement read replicas for Supabase
- Add Redis caching layer
- Set up proper monitoring and alerting
- Consider moving to dedicated Supabase plan
100,000 Users: Enterprise Scale
- Multi-region deployment
- Database sharding
- Queue-based architecture for background jobs
- Dedicated infrastructure
At this point, you'll likely need to refactor the AI-generated code significantly.
