Snowflake Offers New Development Tools for Enterprise-Grade Agentic AI

Snowflake, the AI Data Cloud company, is introducing a suite of new developer tools designed to help organizations rapidly build, test, and deploy cutting-edge, enterprise-ready AI apps.

According to the company, new enhancements to Snowflake’s developer collaboration environment, seamless open source integrations, and new data quality capabilities further accelerate productivity and reduce overhead, helping teams drive measurable business value at scale—all within a single, governed platform.

“The success of enterprise AI hinges on having the most trustworthy data, and the most productive developers,” said Christian Kleinerman, EVP of product, Snowflake. “By delivering a single, intelligent, and governed environment, we're not just accelerating code development and execution—we're giving every developer a shorter, simpler path to build enterprise-ready AI apps that actually drive value. This is the new blueprint for enterprise innovation and a demonstration of how Snowflake is delivering on its promise of limitless interoperability."

Snowflake is providing AI-native developer tools designed to help teams move into production faster, and with more confidence. These new features include:  

• Build AI apps more efficiently: Developers can now streamline their data workflows with Cortex Code (in private preview), a refreshed AI assistant within the Snowflake UI that lets users interact with their entire Snowflake environment using natural language.
• Accelerate secure development at scale: With enhancements to Snowflake Cortex AISQL (now generally available), developers can build scalable AI pipelines within Snowflake Dynamic Tables (now generally available) to create AI-inference pipelines through a simple declarative SQL query. Leveraging AI Redact (in public preview soon) within Cortex AISQL, users can scale more confidently with the ability to detect and redact sensitive data from unstructured data, allowing them to ready their multimodal dataset for AI while maintaining security and privacy.

Snowflake empowers developers with world-class tooling, coupled with interoperability across a wide-range of third-party products, so they can build the way they want, with their preferred solution, the company said.

With Snowflake’s latest innovations, developers can build using the tools they already know and love, without leaving the secure and governed Snowflake platform:

• Accelerate development with seamless collaboration: Snowflake’s centralized development environment Workspaces (now generally available) eliminates siloed data work and boosts collaboration, providing a unified editor for creating, organizing, and managing code across multiple file types. Workspaces is enhanced with direct Git Integration (now generally available), providing developers with a seamless way to review version control, and VS Code Integration (now generally available), allowing users to work from their preferred Integrated Development Environment (IDE) and share code with the rest of their team. 
• Reduce overhead with support for existing tools: With dbt Projects on Snowflake (now generally available), enterprises such as Enlyte, InterWorks, NTT DOCOMO, and STARS can build, test, deploy, and monitor their dbt projects directly within their Snowflake environment—empowering engineers to focus on delivering insights rather than maintaining various tools and infrastructure. 
• Increase productivity with fewer code changes: Snowflake is helping organizations such as VideoAmp further accelerate developer productivity by running existing Apache Spark code on Snowflake’s secure engine with Snowpark Connect for Apache Spark (now generally available). Snowflake partners including BlueCloud, Infosys, Kipi.ai, a WNS Company, and Tredence are further supporting enterprises with their use of Spark on Snowflake’s platform through Snowpark Connect for Apache Spark, recognizing it as the leading platform for developer use cases.

To simplify the complex task of monitoring and reporting on data reliability, Snowflake has also enhanced its Data Quality User Experience (UI) (in public preview), allowing developers to assess how accurate and trustworthy the data is, and automatically generating a summary for increased insights, the company said.

With upgrades to Code Security (now generally available), teams also benefit from new security constructs that remove the risk of unsecured access to developer code to eliminate data poisoning or block unauthorized model tampering.

For more information about this news, visit www.snowflake.com.