168 karma · joined November 8, 2013
Do you full on let GLM5 get stuff done on its own or is it more like a guided workflow? The former's what the point releases doubled down on and is also something that uses a lot of juice.
Now I see the issue clearly! But wait... now I have the full picture! But wait... Found it!
I gave up a few times because of it at first until I realized I just had to let GLM get on with it and what came out was great!
But once it was outright endearing- challenging bug, it said: I have been very thorough. Then it escalated where to look and aced it. Built in confucian values
Alpha stage- rough around the edges but it's cross platform, it's tiny and it works!
A command-line program for AI-assisted programming to get results as cheaply and reliably as possible. Especially interesting to use z.ai models, which will likely still work if US AI company prices rise too much.
It's also a pleasure to work with. Still needs polish and bugfixes, late alpha.
Interesting twist- notice dark shapes in your color spectrum for a while, then switch to light. Trippy.
But then it's the github cofounder- well, github did add a lot of stuff onto git I didn't know I needed, so I'm curious.
I've always found my self at the clean code end of the spectrum (which also means simple and flexible to me) because it makes it easier to be flexible for customer needs. So I like good code but it's a means to an end.
https://capocasa.dev/the-golden-age-of-those-who-can-pull-it...
Well if you're ever in need for a complementary mind in side projects- huh, how does one connect over HackerNews?
I notice that I get into this automatically during AI-assisted coding sessions if I don't lower my standards for the code. Eventually, I need to interact very closely with both the AI and the code, which feels similar to what you describe when coding manually.
I also notice I'm fresher because I'm not using many brainscycles to do legwork- so maybe I'm actually getting into more situations where I'm getting good ideas because I'm tackling hard problems.
So maybe the key to using AI and staying sharp is to refuse to sacrifice your good taste.