Snowflake launches enterprise AI coding agent to speed data and AI deployment

Snowflake on Tuesday (February 3, 2026) unveiled a new artificial intelligence coding agent and a suite of development tools aimed at helping enterprises move data and AI projects into production more quickly, as companies seek to turn AI experimentation into operational systems.

The cloud data company said its new product, Cortex Code, is a Snowflake-native AI coding agent designed to automate and accelerate data engineering, analytics and AI application development while operating within customers’ enterprise data environments and governance controls.

Snowflake said Cortex Code is built to understand customers’ data, compute resources and security requirements, distinguishing it from general-purpose coding assistants that focus primarily on code generation. The tool allows users to translate natural-language instructions into production-ready data pipelines, analytics workflows and AI applications.

“For AI to truly deliver value, it must move beyond experimentation and become an integral part of the systems that teams rely on every day,” said Christian Kleinerman, Snowflake’s EVP of product, in a statement.

Cortex Code will be part of Snowflake’s Cortex AI product suite and joins Snowflake Intelligence, the company said. Cortex Code will be available within Snowflake’s web interface, Snowsight, and through a command-line interface that can be used in local development environments such as Visual Studio Code and Cursor.

The company said the product is already being used by customers including Braze, dentsu, LendingTree, United Rentals and WHOOP to speed up the deployment of AI-driven workflows.

In addition to Cortex Code, Snowflake announced new tools intended to reduce friction in enterprise AI development. These include an integration with Vercel’s v0 product to enable so-called “vibe coding” for AI applications, allowing users to build data apps using natural language and deploy them securely within Snowflake.

Snowflake is also introducing an integration with the Brave Search API, which it said would allow AI agents to access real-time web information alongside enterprise data, and enhancements to its collaborative Workspaces environment, including shared workspaces, notebooks and OpenID Connect-based authentication.

Enterprises have increasingly struggled to move AI projects from pilots into production due to data complexity, governance requirements and security concerns. Snowflake said its latest releases are designed to address those challenges by embedding AI directly into the data development lifecycle with enterprise controls.