Snowflake makes Cortex Code generally available in Snowsight

Snowflake has made Cortex Code generally available in Snowsight. The release places an agentic assistant inside the platform for SQL and Python development, end-to-end machine learning, data exploration and account administration. The assistant is integrated into Snowsight and Workspaces. It supplies context-aware assistance inside the active workspace and supports completion of development, exploration and administration tasks without leaving the environment. Cortex Code operates under Snowflake existing policies and role-based access controls. Inside Workspaces the assistant generates, modifies, optimizes and explains SQL and Python code. It presents proposed edits in a diff view for review before application and accepts at-mentions to add tables, schemas or views as inline context. It also suggests fixes for failed SQL statements. Cortex Code supplies verified machine learning pipelines that execute directly from Snowflake Notebooks in Workspaces. For dbt projects on Snowflake it supports source data exploration, model scaffolding, test addition, dbt command execution and documentation generation. The assistant uses Horizon Catalog context and Snowflake documentation to answer plain-language questions about tables and columns. It responds to product and SQL questions from official sources and surfaces metadata such as tags, masking policies and lineage where available. It also supports semantic-model-oriented workflows for Cortex Analyst. Users can query details on user and role access, data ownership and tables that contain personal information. They can also examine account usage, credit consumption and the warehouses or queries that drive spend. Because the assistant is embedded in Snowsight, users obtain help without switching tools or leaving the platform where they write and run queries.