If you’ve ever worked at a company while it was going through a major crisis or falling apart completely… what observations come to mind? What stood out to you the most? How did employees and management behave?
Aleksandr Shvedov retweeted
AI bros discover co-routines 40 years later 😭
AWS just open-sourced a runtime that can fit 75,000 concurrent AI agents in 8GB of RAM.
the trick is that agents don’t sit around consuming resources while waiting for tools to finish. the runtime saves their state, suspends them, and resumes them when something happens.
75,000 agents. raspberry pi 5 memory.
that number is kinda ridiculous.
Absolutely true stories that definitely happened. At this point, tech is becoming indistinguishable from fake guru grifting
There is an absolutely WILD story in this @GergelyOrosz podcast episode
1. An unnamed CTO of a cash-flow-negative company was debating doing layoffs. AI
2. He says "I don't want to hurt morale like that, I won't do it"
3. A few months later, he says to @GergelyOrosz that he's cash flow positive. WTF. How?
4. The company had been licensing a component from a licensing company that was critical for their business.
5. One day, a dev thinks "what if we got an agent to build our own?"
6. The agent does so well that they produce a BETTER, FASTER version of the component they were licensing.
7. They debate open-sourcing it, and they ask the licensing company about it
8. The licensing company panics, and says "we will pay you NOT to open-source this"
9. They also say "we'll also pay you extra so we can re-license it"
10. So a big outlay became a recurring windfall, thanks to the ingenuity of a dev asking the right question.
Individual contributors have never been more powerful. Think bigger.
youtu.be/mQu0zN4IvSI?si=P_v9…
Aleksandr Shvedov retweeted
chaser: do you know what other company takes 30% while doing way less than what Steam does and is aggressively protecting their monopoly? I'll give you three guesses.
woah, this is crazy. Types are just the partial functions in Verse, so `(x:T) => e` basically just desugars into `x => { x := T(x); e }`. I never saw anything even remotely similar to this design...
🤡🤡🤡 What is the problem? Why not be proud of a great products shipped with AI label? If AI is so good, why shouldn’t we disclose its usage?
This is not confusing at all
Copilot Code is a new AI-powered coding experience in Microsoft Copilot that helps people turn ideas into working software. Learn more: msft.it/6011aaNIB
damn... in my archives I've found a .dat file from the year 2008, no visible textual data inside... almost removed it... Codex: "this is the Miranda IM database file, 90k ICQ messages from three years"🤯🤯🤯
“properly prompted”
Replying to @Perpetualmaniac
This is no longer a real issue. C is superior again, because very complex pointer and memory management is no problem for a properly prompted AI.
TL;DR if you haven't watched it yet
The End of Programming? Video of my talk yesterday at #scaladays. youtube.com/watch?v=jlJyuJhD…
Aleksandr Shvedov retweeted
Anthropic is offering a 145k salary for a personal assistant in London.
Responsibilities include:
"Scheduling and managing calendars for leader(s) and their organization"
"Building and maintaining organizational systems for tracking and managing inbound requests"
"Managing the leader's inbox and communications with precise attention to detail"
"Handling travel logistics"
Somebody should really build some sort of tech tool that can handle this stuff autonomously.
this week in AI native software engineering: let's kill all or "intermediary" abstractions. "every layer is just one more place for the agent to guess wrong".
my new AI native software engineering principle is to delete as many layers of abstraction as possible
at this point, all my webapps are written in rust and compiled to wasm, UI is rendered directly in html and/or raw webgpu calls
no react/threejs/nextjs or any other intermediary abstractions
all my effort goes into writing custom validation harnesses for each app that fully quantifies perf / usability / what "good" means for the coding agent so it can hillclimb it
every agent sessions are planned via my explore unknowns skill (github.com/dzhng/skills), so all major decisions are frontloaded, then I just let the agent rip for 12+ hrs
at this point I'm solo shipping products that I wouldn't even dare to dream of a year ago
I think this is a great point no one is willing to accept :)
Replying to @GergelyOrosz
If AI is basic like the keyboard then let candidates use it in the interview.
You cannot require it at work and ban it in the test. So which one is the real job?
Aleksandr Shvedov retweeted
$300 for a bug that gives free access to OpenAI’s paid models with no API key or account.
Zero reason to report anything else I find to them.
AI devs are still able to surprise me with the development things they are trying to discard :) High-level languages, human code review, now… tests! Yesterday I thought it is all about verification loops…
We deleted 800k lines of unit tests from the @sazabi monorepo earlier this week.
Three hypotheses:
1- Unit tests "lock-in" slop code by making it hard to change or remove
2- Unit tests slow down dev cycles by making your agent do more work locally and by increasing CI times
3- Unit tests waste money by making your agent generate more tokens and by adding useless CI runs
Will report back soon with the results!



























