It’s funny seeing everyone dunking on the meta employees who are sad. It really comes off as jealous. Yeah they are highly compensated. Working there is *also* hell.

If you have this outlook, you’re ngmi

My manager hit me with “why are you driving this cross functional project, you should be coding let someone else drive it” Bro you don’t pay me L6 salary to type all day. Of course I’m going to code this when everyone’s aligned.. lol

This is not far from the truth.

Quick everyone repost this and say “me”

This is what it’s like working a 9-5 on the spectrum

Nah, I panic clean like crazy before the cleaning lady comes

Having gpt-5.5 iterate on models, giving it a target and letting it go works shockingly well. I pointed it at labeled data, gave it a rough idea of the architecture I wanted and basically said “don’t stop until you hit X metrics” and it’s been chugging along making progress.

Learning too much. Just make the game, ship it, make another. They’ll be terrible but that’s not the point. You need to learn how to finish games. You can’t learn it by reading about it.

A fun post about the renaissance we've been seeing in terminal UIs, and some of the things we've built in service of that. blog.janestreet.com/strace-u…

I did this for about 6 years 11 years ago and I’m still mentally and physically recovering. Rob isn’t lying, it’s not worth it. Maturing is learning an efficient 30-45 hours is faster and better than grinding 100.

hard agree

What’s interesting is this is how I’ve been using LLMs naturally. I had never seen this chart, but it’s a great distillation of “what systems engineering is”.

I feel like this more and more every day

I’ve never even heard of this, but ngl it’s a pretty good test

The AI coding market's meteoric growth is a direct downstream result of software companies' high gross margins and large TAMs. The spring was always coiled and AI just released it. Because of these high GMs and large markets there are many software companies that have essentially an infinite capacity to purchase more software development, because they can turn it directly into growth and have economics that allow reinvestment. Code more => ship more => grow more => increase profits => code more. I actually do not think that there are many markets that share this dynamic, and imo the degree to which AI is a $10T vs $100T opportunity hinges upon whether other markets share the incredibly efficient pattern that software follows.

Exactly. You can instrument your code to the tits and ask the agents to converge all your evals, instrumentation and tests simultaneously. There’s a widespread failure of imagination in tapping the deep c tooling ecosystem to drive quality with agents.

Working in corporate jobs with strong pattern recognition is *maddening*