# Episode 69: Python is Dead. Long Live Python! With the Creators of pandas & Parquet

Page: https://stenobird.com/podcast/vanishing-gradients-4989163/episode-69-python-is-dead-long-live-python-with-the-creators-of-pandas-parquet
Text version: https://stenobird.com/podcast/vanishing-gradients-4989163/episode-69-python-is-dead-long-live-python-with-the-creators-of-pandas-parquet.md
Podcast: [Vanishing Gradients](https://stenobird.com/podcast/vanishing-gradients-4989163)
Published: 2026-02-03T03:44:39+00:00
Episode link: https://hugobowne.substack.com/p/python-is-dead-long-live-python-with
Audio file: https://api.substack.com/feed/podcast/186674186/d2c15426bda7c5f8852af093ef8ab211.mp3
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JSON: https://stenobird.com/v1/public/podcasts/vanishing-gradients-4989163/episodes/episode-69-python-is-dead-long-live-python-with-the-creators-of-pandas-parquet
Duration seconds: 3327

## Resource

> It’s the agent writing the code. And it’s the development loop of writing the code, building testing, write the code, build test and iterating. And so I do think we’ll see for many types of software, a shift away from Python towards other programming languages . I think Go is probably the best language for those like other types of software projects. And like I said, I haven’t written a line of Go code in my life. – Wes McKinney ( creator of pandas Principal Architect at Posit) , Wes McKinney , Marcel Kornacker , and Alison Hill join Hugo to talk about the architectural shift for multimodal AI, the rise of “agent ergonomics,” and the evolving role of developers in an AI-generated future. We Discuss: * Agent Ergonomics: Optimize for agent iteration speed , shifting from human coding to fast test environments, potentially favoring languages like Go ; * Adversarial Code Review: Deploy diverse AI models to peer-review agent-generated code , catching subtle bugs humans miss; * Multimodal Data Verbs: Make operations like resizing and rotating native to your database to eliminate data-plumbing bottlenecks ; * Taste as Differentiator: Value “taste” —the ability to curate and refine the best output from countless AI-generated options —over sheer execution speed; * 100x Software Volume: Embrace ephemeral, just-in-time software ; prioritize aggressive generation and adversarial testing over careful planning for quality. You can also find the full episode on Spotify , Apple Podcasts , and YouTube . You can also interact directly with the transcript of the workshop & fireside chat here in NotebookLM : If you do so, let us know anything you find in the comments! 👉 Want to learn more about Building AI-Powered Software? Check out our Building AI Applications course . It’s a live coh…

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## Transcript

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