Uploaded June 2026 | Updated September 2026, 3 weeks ago
[2026 - DAY 2 - WORKSHOP] We built Cortex Code to solve the context gap in AI development by engineering the industry's first data-native coding agent that is deeply coupled with the underlying data platform. We architected a system that directly interfaces with Snowflake's metadata, compute, and governance layers, giving the agent real-time environment awareness of table structures, operational semantics, and security.
In this session, we will dive into how we constructed this context-aware reasoning loop, utilized open standards like MCP and agents skills for extensibility, and solved the challenge of delivering an agent that accelerates complex data engineering and ML workflows while remaining secure-by-design. We will also share our experiences with benchmarking and optimizing Cortex Code on public and internal benchmarks.
SPEAKER:
Umesh Unnikrishnan - AI Research Lead, Snowflake
👉 Sign up for our "No BS" Newsletter to get the latest technical data & AI content: aicouncil.com/newsletter
ABOUT AI COUNCIL:
AI Council brings together the brightest minds in data to share industry knowledge, technical architectures and best practices in building cutting edge data & AI systems and tools.
FIND US:
Website: aicouncil.com
LinkedIn: linkedin.com/company/aicouncilconf
X: https://x.com/aicouncilconf
[2026 - DAY 2 - WORKSHOP] We built Cortex Code to solve the context gap in AI development by engineering the industry's first data-native coding agent that is deeply coupled with the underlying data platform. We architected a system that directly interfaces with Snowflake's metadata, compute, and governance layers, giving the agent real-time environment awareness of table structures, operational semantics, and security.
In this session, we will dive into how we constructed this context-aware reasoning loop, utilized open standards like MCP and agents skills for extensibility, and solved the challenge of delivering an agent that accelerates complex data engineering and ML workflows while remaining secure-by-design. We will also share our experiences with benchmarking and optimizing Cortex Code on public and internal benchmarks.
SPEAKER:
Umesh Unnikrishnan - AI Research Lead, Snowflake
👉 Sign up for our "No BS" Newsletter to get the latest technical data & AI content: aicouncil.com/newsletter
ABOUT AI COUNCIL:
AI Council brings together the brightest minds in data to share industry knowledge, technical architectures and best practices in building cutting edge data & AI systems and tools.
FIND US:
Website: aicouncil.com
LinkedIn: linkedin.com/company/aicouncilconf
X: https://x.com/aicouncilconf
