I very much like textlog, it feels like a breath of fresh air
Any conversation
Hello to friends. Holla for tools.
๐จโ๐ป : , , and Pragmata Pro
๐ช : NotePlan
๐ง : Overcast
๐ง : Allume
๐๏ธ : Mark Two (EDC), Pen Type-B
๐ณ : Anisota
Iโm using textlog to explore the intersection of and tech, with the goal of building an app that solves a problem in this space. Named , it's word represented as a hex color.
Of all the words there, it is a cocoa-ish color and is an appropriate name for this idea.
a constant, existential pull
so old I couldn't tell you the end
or draw its shape
between kind acceptance
and striving, struggling, writhing, climbing
learning, growing, discontent
"do you feel this way, too, at endless war with longing itself?"
but the birds and trees and ants and wind
in their own marvelous design
don't reply
Yesterday I with help from the clanker, as an experiment, ported a web app from go+postgres+svelte to ari+duckdb+htmx served locally by busybox httpd. Itโs an analytics โdashboardโ so the stack makes sense. So far looks good. Now I work on the code in vim to make it mine. I want fewer layers of abstraction and less complexity, and this is a learning experience to that end.
even vanguard supports passkeys now
investor.vanguard.com/โฆ/trust-security
Huge refactor today, moved from sync SQLite to Worker based, touched 88 files, pre- it would have taken a week or so, finished now in ~1:30h. And I wouldnโt have the confidence I have now that it went correct. It went well, though a bug or two might surface, weโll see.
Good work! What motivated the refactor exactly? I'm not familiar at all with Worker
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.
Coding probably yeah, but still they are bad at generating novel information, new ideas and such. Theyโre also not very good at seeing the bigger picture, they will narrowly perform the task but theyโre not taking into account future revisions, which ends up in refactor after refactor in order to move forward.
I still don't get how now after AI coding there's people saying that contrary to common belief code wasn't a bottleneck and I realized that when I was starting to code at 10yrs ago when I was 15 and read it in a stackoverflow comment. I thought that was the common belief and still can't believe a lot of supposed senior programmers apparently believed so.
Yes, code was never the bottleneck and of course now it never will be either. Figuring out semantic modeling of data that makes sense across business domains and figuring out the right way to use digitalization to modernize processes, and the change cultures as become possible through such work - thatโs much more bottlenecks! Code is easy; people and process is hard!