Honestly, I’m working 5x harder since coding agents actually became useful. Weren't these supposed to take software engineers out of the critical path? Now it just feels like every part of the stack needs to be rebuilt, and it has to happen now.
I made the jump from Linux to macOS after over 30 years of Linux as my daily driver exactly because the AI tools were (and still are) shipping on macOS first. The Omarchy hype is tempting, and no doubt a lot of the rough edges that I had when I tried it are sanded off
The case for *total* Linux victory (desktop, mobile, server, iot, robots, embedded…):
1) Most agent-programmable
People will want fully personalized computing experiences. macOS makes it hard to even ship a tiny app to your menubar.
2) Open source training data
Blender beats
I used Arch for about a dozen years. It's my favorite distro after Gentoo (no joke). I tried Hyprland; no go because tiling WMs are not intuitive. I wonder if it still defaults as a tiling WM, or if that's one of the unapproachable things about this setup that the crew have addressed
We have secured nearly TWO MILLION DOLLARS IN TOKENS from leading labs. Lead by @AIatMeta as Founding Token Patron and joined by @AnthropicAI, @OpenAI, and @FireworksAI_HQ this is an incredible haul of pledged tokens. We will use them to FIX EVERYTHING 🤠 omarchy.org/news/2026/09/o…
Same 100% - avoiding ACP for agy until this is clearly settled. Google model access outside their harness is not worth the risk of Google account disruption, but I can't keep my work inside their UI either.
@theo@_mohansolo IF this is true, then g'damn, I would actually be USING my Gemini models like A LOT.
For the past 6+ months they are just sitting there. I don't work inside of Antigravity, I use other tools, I just want my Gemini models inside those other tools.
Starting to wonder if the smartest way to reduce slop is just to produce less code
Force code review to continually reduce code while ALSO keeping cyclomatic complexity low
Less code means less code to maintain, fewer bugs
@unclebobmartin 0... 0... 0... 0...
Receptionist: "Would you please stop pressing 0. I'm a real person! I can hear you."
Me: "I'd like to speak with an AI, please."
If I dictate into Wispr Flow and the software cleans up my dictation, removing the uhms and all the other magic that Wispr Flow does, and then hit "send", is that AI-authored prose that I am ethically somehow obligated to disclose?
Take this to its obvious conclusion.
@henrypeterhenry@alexisohanian Funny that it does neither. It brings more jobs both tactically (short term infra builds need people with skills) and strategically and holistically because read about Jevons Paradox. And the water thing is debunked in the post you're replying to.
@yacineMTB There are. You would probably be astounded at the degree to which a lot of older tenured engineers in big comfy enterprises are resistant to adopting anything new.
The moat is understanding the domain well enough to be able to put all of these things together to actually solve problems and create new things. That's a moat that everyone can build in their own space IMO
the models have no moat (OpenAI, Anthropic, XAI)
the IDEs have no moat (Cursor, Windsurf)
the harnesses have no moat (Cognition, Factory, LangChain)
the app builders have no moat (Replit, Lovable, Bolt)
the wrappers have no moat (Harvey, Abridge, OpenEvidence)
the inference
I do something like this with @1Password using op run - my .env files don't hold creds, just 1Password vault paths. My agents can't see any credentials.
cloudflare sandboxes handles credential injection in a beautiful way
agent never sees the credentials but can make calls to a service securely so you cant get prompt injected to expose your keys
genius !
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