From Prompt to Production: Build a Streamlit App with Cortex Code

Building internal data apps has traditionally meant choosing between speed and security: Either cobble together a quick prototype that never gets production clearance, or wait months for engineering to build something enterprise-ready.

Cortex Code and Streamlit in Snowflake eliminate that tradeoff. With AI-assisted coding, you can go from a natural language prompt to a fully functional, governed data app in minutes — all running securely on the platform that connects all your data. In this hands-on lab, you'll experience how simple it is to vibe code a production-ready Streamlit app directly on Snowflake.

In this lab, you'll learn how to:

• Use Cortex Code to generate a working Streamlit app from a natural language prompt
• Build an interactive data app powered by live Snowflake data with just Python
• Deploy your app securely within Snowflake's governed environment, ready to share with your team