Audience
Data engineers, analysts, ML teams, and developers wanting to build and automate governed data and AI workflows through a context-aware coding agent
About Snowflake CoCo
Snowflake CoCo is a data-native AI coding agent that turns complex data engineering, analytics, machine learning, and AI workflows into simple conversations. It understands enterprise context, including catalog, lineage, RBAC policies, compute, and pipeline dependencies, helping generated code reference real objects with the correct permissions. Teams can use CoCo to identify data, build pipelines across dbt, Apache Airflow, Postgres, Spark, and AWS Glue, generate executable ML pipelines for Snowflake Notebooks, and create apps and AI agents grounded in enterprise data. Its agent harness includes Snowflake-specialized tools such as semantic catalog search, data diffing, and sandboxed runtimes rather than relying on generic code wrappers. For complex, multi-step tasks, orchestration can coordinate sub-agents and route between models automatically. CoCo is available as a desktop development environment with access to local files, terminals, and Snowflake.
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