Snowflake Inc. Enhances Cortex Code with Expanded Support for Any Data Source

On February 23, 2026, Snowflake Inc. (NYSE: SNOW), a leader in the AI Data Cloud space, announced significant enhancements to its Cortex Code CLI, marking a pivotal moment for developers and data engineers. With the newly expanded capabilities, Cortex Code CLI now supports workflows for any data source, including popular tools like dbt and Apache Airflow®, providing developers with AI-driven assistance in their preferred data engineering environments.

This strategic move aims to address the increasingly complex and resource-intensive nature of modern data stacks, which often span multiple systems and workflows. By simplifying and accelerating development, Snowflake seeks to empower teams to efficiently manage production-grade workflows and optimize their data operations.

As organizations grapple with the challenges of fragmented data ecosystems, the potential for operational inefficiencies grows. Broken data pipelines can lead to hidden costs, lost productivity, and a decline in data confidence. Snowflake’s expanded support for dbt and Apache Airflow workflows directly addresses these issues, allowing developers to streamline their processes while maintaining rigorous enterprise-grade controls.

“Developers don’t operate in a single system, and AI coding assistants shouldn’t either,” stated Christian Kleinerman, Executive Vice President of Product at Snowflake. This sentiment underscores Snowflake's commitment to aligning its tools with the realities of modern data work, thereby facilitating a more integrated and effective development experience.

The latest release of Cortex Code CLI introduces several important features designed to elevate developer productivity:

The response to Cortex Code since its launch in November 2025 has been overwhelmingly positive, with over 4,400 new users adopting the tool to enhance their data engineering capabilities. Organizations are realizing the transformative potential of Cortex Code in their workflows, leading to improved efficiency and reduced manual labor.

Spencer Burke, Senior Vice President of Growth at Braze, remarked on the impact of Cortex Code, stating, “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.” Similarly, Trent Foley, Chief Technology Officer at evolv Consulting, shared that leveraging Cortex Code resulted in significant time savings, translating to an estimated $100,000 value within just the first 20 days of use.

In a bid to democratize access to its innovative tools, Snowflake is introducing a new subscription plan for Cortex Code CLI that operates independently of Snowflake's compute and consumption services. This marks the company's first standalone subscription model, lowering barriers for developer teams seeking to adopt AI-powered development without necessitating an existing Snowflake deployment. This approach encourages experimentation and iteration, enabling organizations to realize value in their data workflows with minimal overhead.

As Snowflake Inc. continues to lead the charge in AI-driven data solutions, the enhancements to Cortex Code CLI signify a substantial leap forward in empowering developers to work more efficiently across diverse systems. With a focus on simplifying complex workflows, improving productivity, and providing robust AI support, Snowflake is well-positioned to help organizations unlock the full potential of their data environments.

For more insights into how Cortex Code CLI can transform data engineering workflows, interested parties are encouraged to explore Snowflake’s resources and learn about this groundbreaking subscription model.