AI-Assisted Data Work with Snowflake CoCo

Data engineers spend enormous amounts of time on work that isn't really engineering: writing boilerplate pipeline code, hunting down schema mismatches, and stitching together tools that should already talk to each other. AI coding agents promise to change that — but only if they understand your actual environment, not just generic syntax. Snowflake CoCo is grounded in your catalog, lineage, and permissions from the first prompt, which means the code it generates references real objects and works the way your stack works.

In this code-along webinar, James Cha-Earley, Senior Developer Advocate at Snowflake, will show you how to use Snowflake CoCo to handle real data engineering tasks through natural language. You'll work through AI-native pipeline workflows, see how CoCo fits into the tools you already use, and put everything together by building a Streamlit app with AI assistance — a complete, practical workflow you can take straight back to your stack.