anyone interested in lightweight apps especially on macOS gets my follow
Any conversation
signals. thinking about shifting my mental framework to identify signals instead of waiting for concepts to be assembled. exploring the amount of energy and opportunities for distractions through the operations of processing what just happened and what is happening to short circuit latent and unnecessary systems. cut through the assembly processes and identify the raw signals. recognizing that naming these "raw signals" is misleading. maybe, shifting observability lower in the stack.
okรฉ, megdumรกltatok, a hรฉten telepรญtem a kis virtuรกlis รกllatseregletem mellรฉ (webszerver, mechanikus 1. generรกciรณs robotkezdemรฉny, led kijelzล szalag) az elsล ai agent chatbotomat, egyelลre Virtualbox Ubuntu alรก
Okay, you've got me, this week I'm installing my first AI agent chatbot next to my little virtual animal herd (web server, mechanical 1st generation robot initiative, LED display strip), for now under Virtualbox Ubuntu
ai coding feels like it has reached diminishing returns for me. luna is my default orchestrator, routing work by complexity. in practice, usage lands around 16% luna, 48% sol, 30% astra, and 6% terra. at this point, i care less about each new frontier release. the system already finds a capable model for the job. the frontier is moving beyond my day-to-day work, so iโm happy to settle into predictable models for a while.
one-point-five-shotted a local node app for creating social posts. drawing from static pages (hey this exists) or new blog posts (timely). with copy/paste to x, and one click post to bluesky and mastodon, tag manager and stale/archive/reject/refresh options. An idea and a solution in about 10 minutes. Madness.

