Snowflake , the AI Data Cloud company, announced that Cortex Code CLI, Snowflake’s AI coding agent for local development environments, is expanding beyond Snowflake-native workflows towards supporting any data source across systems, starting with dbt and Apache Airflow®¹ (now generally available). With this extended support, developers unlock secure, context-aware AI assistance within their preferred data engineering systems — empowering teams to work with data wherever it lives, and build, manage, and optimize production-grade workflows more efficiently.

Modern data stacks span multiple systems, making data engineering workflows increasingly complex and resource-intensive. When pipelines break, hidden costs compound, leading to lost productivity, operational friction, and eroded data confidence — slowing the path to business value. By expanding support to dbt and Apache Airflow workflows, Cortex Code CLI helps teams simplify and accelerate development directly within the tools they already use, while maintaining enterprise-grade controls and oversight. This empowers developers to build on their data faster, reduce manual work, and improve code quality to deliver business value from data and AI faster.

Marketing Technology News: MarTech Interview with Omri Shtayer, Vice President of Data Products and DaaS at Similarweb

“Developers don’t operate in a single system, and AI coding assistants shouldn’t either,” said Christian Kleinerman, EVP of Product, Snowflake. “Modern data work spans multiple systems, teams, and workflows — and the tools we build have to reflect that reality. By extending Cortex Code CLI beyond Snowflake, we’re advancing our mission to provide developers with a context-aware agent that understands and works across their entire data ecosystem. By making adoption seamless, we’re meeting developers where they are on their AI journey.”

“Cortex Code is transforming how we approach agentic analytics at Braze,” said Spencer Burke, SVP of Growth, Braze. “Its native understanding of our datasets, schemas, and columns means our engineers spend less time wrestling with context and more time getting precise, actionable outputs. We’re deploying it against more complex data integrations and using it to automate and enrich our insights layer, turning structured analytics into something more dynamic, expressive, and powerful.”

Extending AI-Powered Development Across Data Engineering Systems to Improve Productivity

Since launching Cortex Code in November 2025, Snowflake has already seen strong adoption with over 4,400 new users — underscoring the growing demand for streamlined, developer-first tooling that simplifies and accelerates development. Teams are rapidly embracing Cortex Code to move faster with greater confidence, turning complex, multi-system workflows into enterprise-ready outcomes.

Snowflake is enabling teams to bring consistent, secure AI-powered development to the tools they already use. This allows organizations to standardize AI across the development lifecycle and improve the efficiency and reliability of production data pipelines.

With this new release, developers unlock:

• Support for dbt and Apache Airflow workflows: Assisting with model development, debugging, and optimization across data transformation and workflow tools
• Expanded AI model choice: Enabling customers to select leading models, including Claude Opus 4.6 and OpenAI GPT-5.2, to balance quality, latency, and cost based on workload requirements, with continued support for the latest frontier models as they become available
• New administrative controls and governance: Providing enterprise features to manage access, usage, and policy enforcement across teams

“Cortex Code has transformed solution development at evolv Consulting by providing a direct, context-aware connection to the Snowflake ecosystem, allowing our team to interact seamlessly with databases, objects, and git repositories,” said Trent Foley, Chief Technology Officer, evolv Consulting. “By leveraging the most advanced models available, such as Opus 4.6, Cortex Code can essentially ‘do anything’ through its CLI version, from full-featured React app development to complex data engineering tasks. This translated into over 500 hours in time saving – roughly $100,000 in value – in just the first 20 days of adoption.”

Making Cortex Code CLI Accessible to Any Developer, Across Any Environment

To make Cortex Code CLI accessible to any developer and enable teams to realize value regardless of their environment, Snowflake is introducing a new subscription plan that operates independently of Snowflake compute and consumption — lowering the barrier to entry for any developer team. This marks Snowflake’s first standalone subscription model, offering a seamless, self-service path for developers to begin using Cortex Code CLI, without requiring an existing Snowflake deployment. This approach enables teams to experiment, iterate, and apply AI-powered development across their data workflows with minimal overhead.