Snowflake (NYSE: SNOW), the company behind the AI Data Cloud, today announced that Cortex Code CLI, Snowflake's AI coding agent for local development environments, is expanding beyond Snowflake-based workflows to support all data sources across systems, starting with dbt and Apache Airflow® 1 (now generally available). With this expanded support, developers unlock secure, context-aware AI assistance within their preferred data engineering systems – empowering teams to work with data from anywhere, and build, manage, and optimize production-grade workflows more efficiently.
New updates to Cortex Code CLI support popular data systems dbt and Apache Airflow®.
Modern data stacks span multiple systems, making data management workflows increasingly complex and resource-intensive. When pipelines break, hidden costs increase, leading to lost productivity, operational friction, and eroded data trust—all of which slows the path to business value. By expanding support for dbt and Apache Airflow workflows, Cortex Code CLI helps teams simplify and accelerate development directly in the tools they already use, while maintaining enterprise-class controls and oversight. This empowers developers to build on their data faster, reduce manual effort, and improve code quality to deliver business value from data and AI faster.
”Developers don’t work in a single system, and neither should AI coding assistants,” said Christian Kleinerman, Product Manager at Snowflake. ”Modern computing spans multiple systems, teams, and workflows—and the tools we build must 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 implementation seamless, we meet developers where they are on their AI journey.”
”Cortex Code changes how we approach agent analytics at Braze,” said Spencer Burke, SVP of Growth, Braze . ”Its built-in understanding of our datasets, schemas, and columns means our engineers spend less time wrestling with context and more time getting accurate, actionable results. We deploy it across more complex data integrations and use it to automate and enrich our insights layer, transforming structured analysis into something more dynamic, expressive, and powerful.”
Extend AI-driven development across IT systems to improve productivity
Since the launch of Cortex Code As of November 2025, Snowflake has already seen strong adoption with over 4,400 new users—underscoring the growing demand for efficient, developer-centric tools that simplify and accelerate development. Teams are rapidly adopting Cortex Code to work faster with greater security and transform complex, multi-system workflows into enterprise-ready outcomes.
Snowflake enables teams to deliver consistent and secure AI-powered development to the tools they already use. This enables organizations to standardize AI across the development lifecycle and improve the efficiency and reliability of production data pipelines.
With this new release, the developers unlock:
- Support for dbt and Apache Airflow workflows: Assist with model development, troubleshooting, and optimization for data transformation and workflow tools
- Expanded selection of AI models: Gives customers the choice of 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 front-end models as they become available.
- New administrative controls and governance: Provides enterprise capabilities to manage access, usage, and policy enforcement across all 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.” Leveraging the most advanced models available, such as Opus 4.6, Cortex Code can essentially ‘do anything’ through its CLI version, from full-fledged React app development to complex data engineering tasks. This resulted in over 500 hours of time savings – approximately $100,000 in value – in just the first 20 days of implementation.”
Making Cortex Code CLI available to all developers, in all environments
To do Cortex Code CLI accessible to all developers and enabling teams to realize value regardless of environment, Snowflake is introducing a new subscription plan that operates independently of Snowflake’s compute and consumption tiers – lowering the barrier to entry for all developer teams. This is Snowflake’s first standalone subscription model and offers a seamless self-service path for developers to start using Cortex Code CLI, without requiring an existing Snowflake distribution. This method enables teams to experiment, iterate, and apply AI-driven development across their data flows with minimal overhead.
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