Matt Glickman

Chief Executive Officer
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An industry leader in enterprise data platforms, Matt led the development of business-critical analytics at Goldman Sachs for over 20 years. He later joined Snowflake to run Product Management and launched the Snowflake Data Marketplace. Now, he is bringing AI workers to enterprises to power the new AI economy.
February 10, 2026

Powering Up Cortex Code with Genesis Superpowers

Matt Glickman
Chief Executive Officer
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News and product updates in Agentic AI for enterprise data teams.
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TL;DR: Snowflake Cortex Code gives data teams an AI coding agent that understands enterprise data context inside Snowflake. Genesis extends that foundation with a context graph that reaches beyond Snowflake, proactive task discovery, governed multi-phase Blueprints, and native integration into tools like Slack and Teams. Together, Genesis and Cortex Code turn AI-assisted coding into a governed, enterprise-wide practice rather than a developer-only tool.

The buzz around Snowflake Cortex Code is real: it's a meaningful step forward for AI-powered data coding inside Snowflake. Cortex Code helps customers perform complex data engineering, analytics, machine learning, and agent-building tasks using natural language, and unlike generic coding assistants, it understands a user's Snowflake data, compute, governance, and operational semantics while remaining secure and strictly governed. But what if you could amplify its impact, driving faster, higher-fidelity outcomes and broader enterprise adoption? 

That's the "better together" story of Genesis and Cortex Code.

It's great to see how well Cortex Code works and how seamlessly Eve, Genesis's Manager Agent, is able to work with it.

The five ways Genesis complements and accelerates Cortex Code's power:

1. A Comprehensive View Beyond Snowflake: Enterprise-Wide Context

Cortex Code is brilliant with your Snowflake data. Genesis takes it further. The Genesis Enterprise Data Context Graph discovers, explores, visualizes, and maps your entire data estate across legacy systems, SaaS tools, cloud storage, and APIs. This full, end-to-end context is what allows Cortex Code to generate the most accurate, relevant, and comprehensive code possible. When Cortex Code can see the whole picture, not just the warehouse, the output reflects how data actually moves across your organization. For a deeper look at why this matters for pipeline quality, see Why AI Agents That Have Context First Build Better Pipelines.

2. Proactive Data Strategy: Your Built-In Brainstormer

Don't just wait for a coding task. Genesis acts as your built-in brainstormer. Using its full understanding of your data estate, Genesis proactively surfaces valuable, high-impact tasks, tasks that can then be expertly executed within Snowflake by Cortex Code. This moves your customers from reactive, ticket-driven coding to a proactive, ROI-driven data strategy. It's the same shift we describe in The Future of Data Engineering: From Months to Hours with Agentic AI, and it's now available inside your existing Snowflake environment.

3. Guaranteed Best Practices: Genesis Blueprints

Data governance and code quality matter, especially on long-running or mission-critical work. Genesis Blueprints are detailed, multi-phase runbooks, authored by Genesis, extensible and managed by your team, with exit criteria verified between phases. Blueprints ensure that the work Cortex Code produces adheres to your organization's existing, human-defined best practices, and that it stays on track across every stage of a project. This guarantees quality, consistency, appropriate review, and compliance, giving teams real confidence in AI-generated results rather than a reason to second-guess them. You can see Blueprints in action in the Genesis Walkthrough #8: DBT Engineering Blueprint, and read the full thinking behind the design in Blueprints: How We Teach Agents to Work the Way Data Engineers Do.

4. Modern Workflow Integration: Seamless I/O Across the Enterprise

AI-powered coding is useless if it's trapped in a silo. Genesis integrates with Slack, Microsoft Teams, and Google Drive, along with robust API access, embedding Cortex Code's capabilities directly into your team's daily workflow. This maximizes utilization and ROI, and it lets Cortex Code reach technical and business stakeholders directly when ambiguity arises, instead of stalling or waiting for someone to check back in.

5. A Polished, Native UX That Drives Adoption

Genesis is built as a polished, truly Snowflake-native application with an intuitive UI, running directly inside a customer's Snowflake account. A well-designed user experience drives faster adoption and broader usage of the powerful coding capabilities the full Cortex Code CLI provides. Genesis makes it easy for more users across the organization to benefit. You can see what this looks like in Exploring Genesis UI: Agent Workflows.

The Genesis-Cortex Code partnership isn't just about integrating tools. It's about realizing the full potential of AI data coding for the enterprise: building on the foundation we first established with our Snowflake Cortex Agents API integration and extending it specifically to coding workflows.

Genesis Expert Forward Deployed Engineers are specialists in both Genesis and Cortex Code. They partner with your team to rapidly maximize your AI data coding use cases, ensuring a fast path to real value. Genesis Data Agents are available for enterprise deployment on Snowflake, Databricks, AWS, Azure, and Docker. To see how Genesis and Cortex Code work together in your environment, schedule a demo at genesiscomputing.com.

Frequently Asked Questions

What is Snowflake Cortex Code? Cortex Code is Snowflake's AI coding agent, designed to help data teams perform complex data engineering, analytics, machine learning, and agent-building tasks in natural language. It works within Snowflake's security and governance model, making it suitable for enterprise production environments. 

How does Genesis extend what Cortex Code can do? Genesis adds four capabilities Cortex Code doesn't provide on its own: an enterprise-wide data context graph that spans systems outside Snowflake, proactive task discovery to surface high-value work before anyone has to ask, governed multi-phase Blueprints that enforce best practices across long-running projects, and workflow integrations with Slack, Teams, and Google Drive so more of the organization can access Cortex Code's capabilities.

Does adding Genesis require new infrastructure or a separate deployment? No. Genesis runs as a Snowflake Native App directly inside a customer's existing Snowflake account. There is no additional cloud infrastructure to provision, no parallel system to maintain, and no separate vendor security review required.

Who benefits from the Genesis and Cortex Code integration beyond data engineers? The combination is designed to extend Cortex Code's reach beyond developer laptops. Through Genesis's native UI and workflow integrations, analysts, data stewards, and business users can initiate and interact with data engineering work without writing code or using the CLI directly.

#Snowflake #CortexCode #AI #DataStrategy #GenesisComputing #BetterTogether

Want to learn more? Get in touch!

Experience what Genesis can do for your team.
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