#555: Marimo Pair - A Canvas for Agent + Developers Collaboration

#555: Marimo Pair - A Canvas for Agent + Developers Collaboration

Coding agents have gotten really good at one kind of work. You scope a feature, edit some files, run the tests, ship it. It all happens on disk. But that is not how data work feels. You load something, you look at it, you run a cell, you watch how it responds, and you decide the next move from whatever is sitting in memory. And until now, your agent couldn't see any of that. It only saw the files. Never the live state. This episode, that wall comes down. marimo pair drops a coding agent right inside a running notebook, with full access to every variable Python is holding in memory. The notebook becomes a shared canvas. You point, it runs the code. You tell it to zoom in on the Picasso paintings, and the chart just updates. No MCP tools to wire up, no schema to describe. Just Python, and an agent that can finally see what you see. Trevor Manz is back to walk us through it.

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Episoder(562)

#563: Getting Started with Rust as Python Devs

#563: Getting Started with Rust as Python Devs

Lint the entire CPython code base from scratch. It takes 0.3 seconds. Three blinks of an eye. That is ruff, and it is written in Rust. So are Pydantic, Polars, uv, and Granian. Rust shows up in Python...

16 Sep 1h 10min

#562: DuckLake: The Lakehouse That's Just SQL and Parquet

#562: DuckLake: The Lakehouse That's Just SQL and Parquet

How many files does your query read before it reads any data? On some data lakes, you go through JSON and metadata files first, just to learn which Parquet files matter. DuckLake asks one SQL question...

10 Sep 1h 11min

#561: TonIO, a Multi-threaded Async Runtime for Python

#561: TonIO, a Multi-threaded Async Runtime for Python

How many cores does your machine have, 10, 18? Your async Python code uses just one of them. That isn't a bug in asyncio. That's the design, and optimizing event loops to be faster by 20% doesn't chan...

4 Sep 1h 15min

#560: Building a Research OS: From Django to 30,000 Samples

#560: Building a Research OS: From Django to 30,000 Samples

In 2020, a gastroenterologist in Glasgow did the math on his new research study and came up with 30,000 samples, arriving over two years from three cities and a dozen hospitals. He asked around about ...

26 Aug 1h 2min

#559: 12 Things You Should (and Shouldn't) Do in AWS

#559: 12 Things You Should (and Shouldn't) Do in AWS

Your site is down. It's 3am. Is it a bug, a bill, or a breach? You can't tell yet, and everyone is watching you find out. Matt Lea has spent fifteen years being the person companies call when an outag...

19 Aug 1h 7min

#558: Hyper-Personal Software with Python

#558: Hyper-Personal Software with Python

Every company has one. The little internal tool that Jane built back in 2021, and then Jane left. Nobody understands it, nobody will touch it. There are two unwritten rules around it: don't change it,...

10 Aug 1h 2min

#557: Security of everything at PyCon 2026

#557: Security of everything at PyCon 2026

Security has always been the vegetables of software. Everyone agrees it matters, and somehow it never quite makes it onto the plate. At PyCon US this year, that changed. For the first time ever, secur...

2 Aug 1h 8min

#556: Updates on Django's Async Story

#556: Updates on Django's Async Story

For years, "Django and async" came with an asterisk. The docs themselves warned you off it. Scary performance notes, a story that felt half-finished. Well, that story just got rewritten, literally, an...

26 Jul 1h 4min

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