Snowflake, the AI Data Cloud leader, has introduced a powerful new Snowflake-native AI coding agent along with several innovative tools designed to help organizations bring data and AI projects from concept to production much faster. With this launch, Snowflake aims to simplify enterprise development while ensuring strong governance, security, and scalability across the full data lifecycle.

At the center of this announcement is Cortex Code, a data-native AI coding agent built specifically for enterprise environments. Unlike traditional coding assistants, Cortex Code deeply understands an organization’s unique data context, workflows, and governance requirements. As a result, it enables both technical professionals and non-technical domain experts to build pipelines, analytics, and AI applications more efficiently.

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“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, EVP of Product, Snowflake. “With Cortex Code, we’re reimagining how teams build and operate by embedding AI directly into the development lifecycle with critical data context and controls teams can trust. This materially shifts how organizations build with data and AI, drastically reducing the effort required for users to build solutions that are reliable, governed, and ready to run at enterprise scale.”

Purpose-Built AI Coding for Enterprise Data Workflows

As businesses increasingly race to adopt AI, they face mounting pressure to innovate faster without sacrificing trust, compliance, or accuracy. However, many existing coding tools focus only on basic code generation and fail to understand enterprise data systems or operational constraints. Therefore, organizations need solutions that can support end-to-end workflows, from engineering and analytics to application development.

Cortex Code addresses this challenge by translating complex tasks into simple natural language workflows. This approach helps teams deliver production-ready outcomes faster while maintaining enterprise-grade oversight. Leading companies such as Braze, dentsu, LendingTree, TextNow, United Rentals, and WHOOP are already leveraging Cortex Code to accelerate innovation and confidently move advanced AI use cases into production.

Additionally, Cortex Code is designed to work seamlessly across Snowflake environments, including Snowsight, terminals, and popular code editors like VS Code and Cursor. With Cortex Code CLI now generally available, development teams can integrate it naturally into their daily workflows.

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New Capabilities to Support AI Across the Lifecycle

Beyond Cortex Code, Snowflake is also introducing new tools to reduce friction across enterprise AI adoption:

  • Vibe coding integration with v0 by Vercel, allowing employees to build AI-powered apps with natural language.
  • Agentic web search through Brave Search API, bringing real-time web knowledge into Snowflake Intelligence and Cortex Agents.
  • Enhanced collaborative Workspaces, including Shared Workspaces and Snowflake Notebooks, offering secure, unified AI development environments.

Customer Voices Highlight Real-World Impact

“Our teams operate in an industry where the demand for high-quality, data-driven marketing solutions is accelerating rapidly…,” said Joe Tobey, Head of Data Products Engineering, dentsu.

“Cortex Code is fundamentally changing how our teams build on Snowflake,” said Miks Lūsītis, Senior Director of Data, FYUL.

“As we look at how agentic AI can accelerate our data and analytics roadmap…,” said Srinivas Madabushi, Senior Vice President, Technology, LendingTree.

With Cortex Code and its expanding AI ecosystem, Snowflake is positioning itself to help enterprises build faster, smarter, and more securely as AI becomes central to modern business operations.

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