zingar

7 ms·

1.
by zingar 6d ago
My main agentic coding side project is something that I can't justify paying the apple developer license for. If I was an Android person or I didn't have to pay the developer license, maybe I'd just go for it.
2.
by zingar 15d ago
This kind of thing came up from time to time in the years before LLMs too. Agents would start with something based on English and optimize it until it became unintelligible to researchers. That was often something the researchers would shut
3.
by zingar 21d ago
Would love to know what he thinks nowadays
4.
by zingar 22d ago
I think I do agree with the central point but a point of order is that if you tell AI to fix the bug and then tell it to fix the next error you might still be building an important skill: learning how to make the AI get good results.
5.
by zingar 27d ago
My unsupervised agentic setup has built something that I wanted for decades but never built, so I guess that’s an increase in capabilities.
6.
by zingar 27d ago
I’m curious, what was the application of AI that helped the family?
7.
by zingar 27d ago
This is exactly my experience. A month of excitement building something that I wouldn’t have had time to do myself, then something broke in the setup and my motivation didn’t extend to fixing it. I’m only back at it four months later and I
8.
by zingar 27d ago
That’s a measure of lines of code, I suspect the parent is talking about what results those LOC create. AI built me a 1.5k+ LOC react component which is probably a 15x increase on the file size I would have created, with negative impact on
9.
by zingar 28d ago
I think that people probably tried to tell me about the amazing stuff, but I couldn't take it in. This created a very pleasant surprise for me when I found out about the good feels after the dread of just expecting everything I know to
10.
by zingar 1mo ago
Well, a tiny fraction less than half the American people, at least the first time?
11.
by zingar 1mo ago
Do the agents come preinstalled in the images? Or do they somehow use whatever I’ve installed locally? The former makes sense to me but then I’m wondering whether the sandbox images stay up to date with new releases of each image.
12.
by zingar 1mo ago
Were you following any patterns/standards/advice on what you needed to protect against? Anything you can point the rest of us to?
13.
by zingar 1mo ago
The HuggingFace headline was criticised for being misleading about the level of agency demonstrated by the agent. Is this headline misleading? Is there anything here that I should know that would help me sleep easier? Is the worst thing abo
14.
by zingar 1mo ago
What’s your point in relation to this article?
15.
by zingar 2mo ago
Wow that is dark. Personal experience?
16.
by zingar 2mo ago
Do you think that the program design adds a lot on top of pointing out the current patterns? I might be anchored by working with humans, but if I saw a plan for humans that included function signatures and what calls what I would say that i
17.
by zingar 2mo ago
Enjoyed most of this but unconvinced by the program design part. If I see an agent writing function signatures or listing which functions to edit in a plan that tells me that I’ve given it too big a vertical slice. I always delete the code
18.
by zingar 2mo ago
It would be interesting to know what the guardrails are. That would help me with understanding how I can use AI content. For instance I asked Claude to help me draw a diagram to represent a software engineering concept for a public presenta
19.
by zingar 2mo ago
I feel like I'm seeing a maths+AI change from "let's test the limits of LLMs by seeing if they can do useful math" to "LLMs can do useful math, now let's solve lots of problems!", or put a different way th
20.
by zingar 2mo ago
Ah of course, I do have a blind spot with local models.
21.
by zingar 2mo ago
Now that you mention it, Claude has had trouble at times with balancing brackets in the elisp I have it write. Yet I still had the idea that LLMs should be better at lisp than other languages. A fascinating contradiction, thanks for pointin
22.
by zingar 2mo ago
I haven’t seen an LLM generate syntactically invalid code in any language in … a year? So I don’t know if “more likely to be syntactically valid” is a good enough selling point. But maybe I’m interpreting you too narrowly?
23.
by zingar 2mo ago
The 1500 line react component that my unsupervised agentic coding side project produced says that it can get worse than we have now.
24.
by zingar 3mo ago
org-gcal … bit of a pain getting the Google API config right but so far so good.
25.
by zingar 3mo ago
Where does “big model highly quantized” start getting worse than “smaller model less quantized”? Is there a general formula or is it just trial and error?
26.
by zingar 3mo ago
I fetch my google calendar every few minutes to get everything into my agenda. The API request is async, but writing to the calendar file and some additional processing made Emacs hang for 10 seconds at a time. The LLM-inspired solution was
27.
by zingar 3mo ago
This post is a breath of pithy fresh air. A small point made with few words that adds something worthwhile to the conversation. On topic: maybe I live in a bubble but I'm surprised how many people on LinkedIn expose far behind the curv
28.
It took two weeks to make Claude's "overnight solution" for flaky tests useful(thoughtbot.com)
2 points by zingar 3mo ago|1 comments
29.
by zingar 3mo ago
This must the most compelling look I’ve seen at how software might work with LLMs doing a ton of heavy lifting. There’s something kind of amazing here in that having read about property based testing I’m pretty confident I could apply it if
30.
by zingar 3mo ago
This is great advice that AI (successfully) tempts me into ignoring.

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