Building dashboards is easy. Scaling to millions of records at 100-300ms? Different challenge.
We built FlytBase's analytics engine using Claude Code + MCP servers. Here's how.
THE PROBLEM:
Dashboard works great... until it doesn't.
More data = slower queries. Users complain. You're optimizing SQL at 2 AM.
THE SOLUTION:
AI as engineering partner, not just code generator.
LIVE BUILD:
- Claude Code understands entire system
- MCP servers suggest indexes from schema
- Requirement → API → UI in one flow
- AI debugs and optimizes queries
REAL PERFORMANCE:
3000ms queries → 100-300ms
Hours of refactoring → Minutes
YOU'LL LEARN:
- Make Claude Code understand whole systems
- MCP servers for schema-aware AI
- High-performance query patterns
- AI debugging and optimization
- End-to-end feature development
FOR:
Developers building analytics, dashboards, or performance-critical apps.
TECH:
Claude Code, MCP servers, Supabase, SQL optimization
TAKEAWAYS:
Analytics starter, optimization playbooks, MCP setup, debugging workflows
Join our exclusive AI Community: https://chat.whatsapp.com/CSg6OChjPmCHt2lASGJKgA
More resources: https://www.aiatflytbase.com/
#Analytics #ClaudeCode #AI #Dashboard #PerformanceOptimization #AIForDevelopers #SQLOptimization
