Snowflake has announced a big upgrade to its Cortex Code CLI, an AI-powered coding assistant. Originally designed for Snowflake workflows, it now supports other popular data tools like dbt and Apache Airflow®. This means developers can now get AI help across different environments, no matter where their data is stored. The goal is to make building and managing data pipelines faster and more efficient, even outside of Snowflake’s platform.

Supporting More Data Systems for Better Flexibility

The modern data landscape is complex, with companies using multiple tools and systems. When data pipelines break or become difficult to manage, it costs time and money. Snowflake’s Cortex Code CLI now works seamlessly with dbt and Apache Airflow®, two widely used tools in data engineering. This expansion allows teams to stay within their preferred workflows while still benefiting from AI assistance. Developers can now write, troubleshoot, and optimize code directly in these environments, reducing manual effort and errors.

This move helps organizations simplify their data operations. Instead of switching between different tools or manually managing code, teams can rely on Cortex Code’s AI to guide them. It provides context-aware suggestions, understands the data schemas, and helps streamline routine tasks. As a result, teams can build more reliable and scalable data pipelines faster, leading to quicker insights and business value.

Empowering Developers and Teams Everywhere

Snowflake emphasizes that modern data work doesn’t happen in a single system. Developers often juggle multiple tools and platforms. By extending support beyond Snowflake-native workflows, Cortex Code CLI aims to meet developers where they are. Christian Kleinerman, Snowflake’s EVP of Product, highlights that AI assistants should serve the entire data ecosystem, not just one platform. This makes it easier for teams to adopt AI tools without changing their existing workflows.

Additionally, Snowflake now offers a self-service monthly subscription for Cortex Code CLI. This allows teams not yet running entirely on Snowflake to start using the AI assistant right away. Whether a company is just beginning their data journey or managing complex multi-system environments, they can access AI-driven coding support. This flexibility helps accelerate data projects and improves collaboration across teams.

Real-World Impact and Future Plans

Since launching Cortex Code in late 2025, Snowflake has seen strong interest from users. Companies like Braze are already benefiting from the tool’s ability to understand their datasets and schemas. This enables engineers to spend less time troubleshooting and more time delivering actionable insights. The AI assistant automates routine tasks and helps automate complex integrations, making data workflows more dynamic and powerful.

Overall, the expansion of Cortex Code CLI marks an important step toward more integrated, AI-supported data engineering. Snowflake envisions a future where developers can work seamlessly across multiple systems, with AI helping at every step. By making this technology accessible to a wider audience, Snowflake aims to speed up innovation and help businesses unlock the full potential of their data and AI initiatives.

Inspired by

• https://ai-techpark.com/snowflake-cortex-code-expands-towards-supporting-any-data-anywhere/