Brett Slatkin @haxor
Author of @EffectivePython. Software engineer, Office of the CTO @Google. onebigfluke.com Joined March 2012-
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Brett Slatkin retweeted
This is interesting — a compiler/runtime that makes almost all standard C/C++ code completely memory safe. The performance overhead is not negligible, but there are plenty of cases where “rewrite it in rust” still isn’t a practical solution.
This is interesting — a compiler/runtime that makes almost all standard C/C++ code completely memory safe. The performance overhead is not negligible, but there are plenty of cases where “rewrite it in rust” still isn’t a practical solution.
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I accidentally used the word "orthogonal" in conversation with a person outside of work today 😬 I probably need a vacation...
Video from my PyCon Talk ("The Zen of Polymorphism") is up! It starts with basic type switching and ends with the catamorphism abstraction. I also explain how OOP organizes code along the wrong axis. I hope you enjoy! youtube.com/watch?v=hidy15…
Brett Slatkin retweeted
The full video of my Upper Bound 2025 talk about our research directions should be available at some point, but here are my slides: docs.google.com/presentation/d… And here are the notes I made while preparing, which are more extensive than what I had time to say:…
I'm at #pycon! It's off to a great start — I got this ahead-of-its-time AI Agent keychain from the @Microsoft booth.
Brett Slatkin retweeted
How do we make Fil-C successful? This post describes my thoughts about what has to happen next. First of all, don't worry about performance. Of the user-facing programs I've ported, none of them exhibits performance problems that make them less usable. You won't notice the perf…
Brett Slatkin retweeted
AI Agents (using MCP) are just loops because they are actually interpreters, and ultimately an interpreter is just a loop.
Seems like every program's event loop will inevitably be replaced or augmented by a reasoning LLM. The remaining challenge is making it fast enough to match user expectations (~250ms) when executing on-device. I'm hopeful model distillation techniques will make this possible.
AI's hottest tool is: *Print to PDF* This document has everything...
Today's vibe coding session created a prototype full of heisenbugs. My attempts at repair with more vibes couldn't solve it. I had to manually step through every part of the code to finally find the problem. Vibe coding is fun, but vibe debugging can be miserable.
Love it when I'm pushing the GPU to the point that the capacitors start singing in time with each training batch.
The analogy I'd make for how "vibe coding" feels: I could not build a factory that molds plastic—I only have a general idea of how it works. But I definitely know how to use (molded plastic) Lego blocks to create interesting models and machines. It's a similar abstraction.
After a week of effort, "vibe coding" on a project gave me the same feeling as when I've authored a long design document. It's less satisfying than writing a computer program (even with genAI code autocomplete). But in some ways more impressive as a feat of software engineering.
Brett Slatkin retweeted
More exciting news from us? You bet! The #PyConUS 2025 schedule is officially live🗓️🎉 Head to us.pycon.org/2025/schedule/ for this year’s amazing lineup, meet our keynote speakers, and register for tutorials, summits & events! All the details: bit.ly/3QFf45P
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