#You couldn't get enough Omarchy

23 messages · Page 1 of 1 (latest)

fiery dragon
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Framework laptop on top. Intel MBP 2020 (T2) running OpenClaw. Gaming PC under the table, and 27" iMac 2013 joining the family to host another OpenClaw. All tunning Omarchy.

inland sun
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That is so amazing! Must have been hard getting the monitor setup correct. Nice.

fiery dragon
mellow depot
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What do you need all these monitors for?😭😭
crazy 10/10 workstation

dusty mural
fiery dragon
dusty mural
fiery dragon
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It is not the prompting. You need to understand how claude works, what are the limitations of the context window and how to ise it properly. For me it clicked after i watched this https://youtu.be/rmvDxxNubIg?si=jMBaa004XJTk0TwG

It seems pretty well-accepted that AI coding tools struggle with real production codebases. At AI Engineer 2025 in June, The Stanford study on AI's impact on developer productivity found:

A lot of the ""extra code"" shipped by AI tools ends up just reworking the slop that was shipped last week.

Coding agents are great for new projects or small...

▶ Play video
dusty mural
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Itll take me some time to savour all this cuz I feel like the prisoner from the allegory of the cave 😅

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And also does that keyboard actually help, i feel ive reached a cap on my typing speed with my keyboard

fiery dragon
fiery dragon
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Just think that you don't need to use your weakest finger to press one of the most used keys: shift, ctrl, alt, super, backspace. You will use strongest one, thumb. And each column is optimised for the finger length so reaching f2 is the same stretch as f5

dusty mural
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Damn its expensive

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Prolly need to save up after my intern finishes

fiery dragon
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It worth every single cent i spent and even more. This keyboard is a lifechanging experience for a software engineer. And my experience starts with ZX-Spectrum

dusty mural
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ZX spectrum is crazy

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Ive never seen one irl

fiery dragon
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ZX Spectrum is what taught me Assembly back in 1997 👨‍🦳

steady arch
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how is your experience with openclaw on omarchy? and what model do you prefer to run it on?

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currently selfhosting it on a ubuntu server thats also hosting a gpt-oss:20b instance with 32k context and right now the experience is pretty lackluster. but im thinking of buying some api credits for testing it on a more powerful model

fiery dragon