AI for data engineers with Simon Willison

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It’s always a good day if you see a pelican. In Episode 30 of Talking Postgres with Claire Giordano, open source developer Simon Willison—creator of Datasette and co-creator of Django—joins to explore how AI is useful for data engineers today. We move past the hype and boosterism to dig into example after example: structured data extraction, alt text and accessibility, safety and security (aka the fiddly bits), and why Postgres’s fine-grained permissions are such a good fit for AI-powered workflows. Also: Pulitzer-worthy data tooling, the science fiction of the 10X engineer, agents, MCP, RAG, the multitude of models, and why Simon spends so many waking hours on the jagged frontier of AI.

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Creators and Guests

Claire Giordano
Host
Claire Giordano
Claire Giordano is head of the Postgres open source community initiatives at Microsoft. Claire has served in leadership roles in engineering, product management, and product marketing at Sun Microsystems, Amazon/A9, and Citus Data. At Sun, Claire managed the engineering team that created Solaris Zones, and led the effort to open source Solaris.
Aaron Wislang
Producer
Aaron Wislang
Open Source Engineering + Developer Relations at Microsoft + Azure ☁️ | Go (golang), Cloud Native, Linux 🐧 🐍 🦀 ☕ 🍷📷 🎹 | Toronto 🇨🇦🌎 | 💨😷💉 | https://aaronw.dev/hello/
Simon Willison
Guest
Simon Willison
Independent AI researcher, creator of datasette.io and llm.datasette.io, building open source tools for data journalism, writing about a lot of stuff at https://simonwillison.net/
AI for data engineers with Simon Willison
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