Brett Slatkin @haxor

Author of @EffectivePython. Software engineer, Office of the CTO @Google. onebigfluke.com Joined March 2012

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Brett Slatkin @haxor

2 days ago

Watching @WillingCarol keynote presentation at @PyBeachLA Great venue and I'm excited to be here! #pybeach2025

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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.

Filip Jerzy Pizło @filpizlo

3 months ago

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Brett Slatkin @haxor

4 months ago

I accidentally used the word "orthogonal" in conversation with a person outside of work today 😬 I probably need a vacation...

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Brett Slatkin @haxor

4 months ago

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…

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John Carmack @ID_AA_Carmack

4 months ago

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:…

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Brett Slatkin @haxor

5 months ago

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.

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Filip Jerzy Pizło @filpizlo

5 months ago

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…

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Erik Meijer @headinthebox

5 months ago

AI Agents (using MCP) are just loops because they are actually interpreters, and ultimately an interpreter is just a loop.

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Brett Slatkin @haxor

5 months ago

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.

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Brett Slatkin @haxor

5 months ago

AI's hottest tool is: *Print to PDF* This document has everything...

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Brett Slatkin @haxor

6 months ago

How I want to feel while vibe coding:

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Brett Slatkin @haxor

6 months ago

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.

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Brett Slatkin @haxor

7 months ago

Love it when I'm pushing the GPU to the point that the capacitors start singing in time with each training batch.

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Brett Slatkin @haxor

7 months ago

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.

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Brett Slatkin @haxor

7 months ago

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.