Dev X AI: Build a High Performance Product Analytics Dashboard using AI

​Most developers can build dashboards. Scaling them to handle millions of records at 100–300ms is a different challenge.

This hands on session shows how we built FlytBase’s real time analytics engine using Claude Code + MCP servers as a true engineering partner. (Bring your laptop)

Why Attend

• ​Learn how to make Claude Code understand your entire system, not just a file

• ​See how MCP servers let AI read schemas, suggest indexes, and debug performance

• ​Watch a feature go from “need this metric” to API + UI in one guided flow

• ​Understand how to optimize slow queries using views and indexing patterns

​What You’ll Build (Live)

• ​End to end analytics workflows powered by Claude Code across SQL, APIs, and UI layers

• ​High performance query patterns using views, indexes, and caching

• ​Schema aware development pipelines using Supabase MCP server

• ​Automated refactoring flows where Claude updates multiple files consistently

• ​Debugging loops where AI identifies bottlenecks and proposes optimized fixes

​Who This Is For
Anyone interested in building or improving a product analytics dashboard, exploring AI assisted development workflows, or learning how Claude Code and MCP servers can streamline end-to-end engineering tasks.

Takeaways

• ​Product ready analytics starter

• ​Performance optimization playbooks

• ​MCP server setup for schema-aware AI

• ​Proven debugging workflows

​Type: Hands-on (Bring your laptop)