LLM and agent support in notebooks

Vincent Warmerdam is a Founding Engineer at marimo, working on reinventing Python notebooks as reactive, reproducible, interactive, and Git-friendly environments for data workflows and AI prototyping. He helps build the core marimo notebook platform, pushing its reactive execution model, UI interactivity, and integration with modern development and AI tooling so that notebooks behave like dependable, shareable programs and apps rather than error-prone scratchpads.

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// Abstract

Vincent Warmerdam joins Demetrios fresh off marimo’s acquisition by Weights & Biases—and makes a bold claim: notebooks as we know them are outdated.

They talk Molab (GPU-backed, cloud-hosted notebooks), LLMs that don’t just chat but actually fix your SQL and debug your code, and why most data folks are consuming tools instead of experimenting. Vincent argues we should stop treating notebooks like static scratchpads and start treating them like dynamic apps powered by AI.

It’s a conversation about rethinking workflows, reclaiming creativity, and not outsourcing your brain to the model.

// Bio

Vincent is a senior data professional who worked as an engineer, researcher, team lead, and educator in the past. You might know him from tech talks with an attempt to defend common sense over hype in the data space. He is especially interested in understanding algorithmic systems so that one may prevent failure. As such, he has always had a preference to keep calm and check the dataset before flowing tonnes of tensors. He currently works at marimo, where he spends his time rethinking everything related to Python notebooks.

// Related Links

Website: https://marimo.io/

Coding Agent Conference: https://luma.com/codingagents

Hyperbolic GPU Cloud: app.hyperbolic.ai

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Timestamps:

[00:00] Context in Notebooks

[00:24] Acquisition and Team Continuity

[04:43] Coding Agent Conference Announcement!

[05:56] Hyperbolic GPU Cloud Ad

[06:54] marimo and W&B Synergies

[09:31] marimo Cloud Code Support

[12:59] Hardest Code to Generate

[16:22] Trough of Disillusionment

[20:38] Agent Interaction in Notebooks

[25:41] Wrap up