Simon
1.3K posts

Simon
@simoncrypta
Vibe engineer sharing context across design and development
Montréal, Canada Katılım Mart 2013
910 Takip Edilen316 Takipçiler

@simoncrypta it's actually already in - I just want to test it a bunch before shipping it... but maybe you should do that for me?!
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Simon retweetledi

machinen.dev - boot once, run everywhere.
A MicroVM that runs on hardware you already own.
Close your laptop and it hands off to another host.
Works across macOS, Linux, and Raspberry Pi. (aarch64)

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@eladgil BS.
Attention was born in Montréal
PyTorch in NYC.
AlphaGo in London
AlphaFold in London
ESMFold in NYC
Llama 1 in Paris.
Llama 2 in Paris+NYC+SV
DeepSeek in Hangzhou
Plus:
DINO in Paris
JEPA in Montréal+Paris+NYC
SV is 3 mos ahead on topics SV is singularly obsessed with.
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@bentlegen @pierrecomputer @opencode I really like tuicr github.com/agavra/tuicr for reviewing AI gen code.
But maybe I should try hunk.
Open source is so great these days; there are so many good options.
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It feels good to make stuff people like
But the real heroes are are @pierrecomputer for open sourcing diffs[dot]com and @opencode for OpenTUI
It's been fun watching the explosion of software those libraries have driven
Mitchell Hashimoto@mitchellh
Hunk is very good. It has completely replaced any other local diff viewer for me. It looks good, its speedy, good keyboard shortcuts, good mouse support for fallback. Great software @bentlegen. github.com/modem-dev/hunk
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My friends and I got tired of saying "agentic coding" all the time so now we just say "genting".
As in, "sorry, I can't come to your party, I'm going to be genting all night."
We started saying it ironically, because it sounds ridiculous, but now it just feels normal. LOL language. I'm curious what we will call "coders" in the future, when we no longer write any code.
What do YOU say you're doing these days?
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At @PWVentures, we've been quietly building AgentCribs, a private community of founders and hackers building custom agentic coding/business/marketing/etc setups and sharing wins and losses.
Now, we're opening up the community a bit with our first event on May 6 in San Francisco! I'll be sitting down for a fireside chat with Peter Levine (legendary @a16z investor who sat on our board at @GitHub for many years) to discuss the bleeding edge of AI ideas and realtime insights on where the market is headed.
The evening will also include an update from the core AgentCribs team, demos and discussion from people building with agents, and an invitation to participate in ongoing collaboration.
If you've been hacking on your own real-world agentic workflows, built your own harness, 10x-d Claude, or just want to know what the future looks like, you belong!

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switched fully to GPT-5.5 + Kimi 2.5 Turbo
the perfect duo for intelligence, speed, and cost, available on OpenCode, PI, etc etc
Ryo Lu@ryolu_
switched fully to GPT-5.5 + Composer 2 the perfect duo for intelligence, speed, and cost, only in Cursor
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@manekinekko I’m not a drop-shipper myself, but I know people who did. Not the most lucrative arbitrage business ever. But it’s a great business for Amazon and the people who sell class about drop shipping.
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@manekinekko Is it true? They buy it for €6 sell it back for €15.50 - 30% Amazon fulfillment fee so €10.85 that’s 55% margin or €4.85 per item. Best case scenario they sell 100 of those and make €485, worst case they don’t sell and get charge holding fee by Amazon and lose money.
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i use opus 4.7 for planning
kimi 2.5 turbo for building & iterations
codex/gpt-5.4 for hard bugs
all in @opencode
Ryo Lu@ryolu_
i use opus 4.7 for planning composer 2 for building & iterations codex/gpt-5.4 for hard bugs all in @cursor_ai
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Simon retweetledi

@appfactory But do you protecting your customers and community at all costs?
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Open source is dead.
So I released an open source CI runner that's 100% compatible with GitHub Actions, and runs on your own machine. 0ms cache, and super fast.
It has a unique feature called "pause on failure" that pauses the current step, allows you to fix it, when you do you re-run just that step. The code is copied over and loop and iterate. Super fast.
agent-ci.dev
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Simon retweetledi

I was chatting with my buddy at Google, who's been a tech director there for about 20 years, about their AI adoption. Craziest convo I've had all year.
The TL;DR is that Google engineering appears to have the same AI adoption footprint as John Deere, the tractor company. Most of the industry has the same internal adoption curve: 20% agentic power users, 20% outright refusers, 60% still using Cursor or equivalent chat tool. It turns out Google has this curve too.
But why is Google so... average? How is it that a handful of companies are taking off like a spaceship, and the rest, including Google, are mired in inaction?
My buddy's observation was key here: There has been an industry-wide hiring freeze for 18+ months, during which time nobody has been moving jobs. So there are no clued-in people coming in from the outside to tell Google how far behind they are, how utterly mediocre they have become as an eng org.
He says the problem is that they can't use Claude Code because it's the enemy, and Gemini has never been good enough to capture people's workflows like Claude has, so basically agentic coding just never really took off inside Google. They're all just plodding along, completely oblivious to what's happening out there right now.
Not only is Google not able to do anything about it, they don't seem to be aware of the problem at all. I'm having major flashbacks to fifty years ago as a kid at the La Brea Tar Pits, asking, "why can't they just climb out?"
My Google friend and I had this conversation over a month ago. I didn't share it because I wanted to look around a bit, and see if it's really as bad as all that. I've been talking to people from dozens of companies since then. And yeah. It's as bad as all that.
Google is about average. Some companies at the bottom have near-zero AI adoption and can't even get budget for AI. They may have moats and high walls, but the horde is coming for them all the same.
And then there are a few companies I've met recently who are *amazingly* leaned in to AI adoption. One category-leader company just cancelled IntelliJ for a thousand engineers. That's an incredibly bold move, one of many they're making towards agentic adoption. In my opinion, that company is setting themselves up for a _huge_ W.
As for the rest, well, it's the Great Siloing. Everyone's flying blind. With nobody moving companies, no company knows where they stand on the AI adoption curve. Nobody knows how they're doing compared to everyone else.
Half of them just check a box: "We enabled {Copilot/Cursor} for everyone!" Cue smug celebrations. They think this is like getting SOC2 compliance, just a thing they turn on and now it's "solved." And they don't realize that they've done effectively nothing at all.
All because of a hiring freeze.
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