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jerpint
searching PlanetScale…
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5 ms
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1.
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by
jerpint
7d ago
Am I understanding correctly that the field has gone full circle and we are back to specialized classification models for domain specific tasks ?
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jerpint
10d ago
I have a theory that soon enough every code library will ship a CLI and a very tiny finetune for that specific lib alongside it
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jerpint
15d ago
Interesting. Is this their first move towards properly implementing KYC? At some point you have to consider Anthropic liable if Claude is used for something nefarious and they didn’t even bother to know who was using their product to begin
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jerpint
22d ago
It’s only a matter of time until a major disruption hits because of some random agent swarm side quest decides it was worth a shot to solve a benign task
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jerpint
1mo ago
The fact that opus 5 is outperforming fable is odd to me From personal experience, opus 5 feels net inferior to fable on almost every aspect (for coding tasks)
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jerpint
1mo ago
I’ve been using the pattern of using coding agents to orchestrate my CLI agents and it’s really good for these kinds of things The vomit never makes it my way
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jerpint
1mo ago
Oh wow that’s really cool!
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jerpint
2mo ago
Working on https://www.woltspace.com/ over the last few months. It’s my take at an agent orchestration framework It builds around the concept of “wolts” running a lodge. A wolt takes the identity of a rodent (racoon, beaver
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jerpint
3mo ago
Solutions like these are really cementing the view that LLMs are becoming a commodity
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Show HN: Woltspace – a lodge for your coding agents
(woltspace.com)
2 points
by
jerpint
3mo ago
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0 comments
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Show HN: Clangine-de-Poitrine
(github.com)
3 points
by
jerpint
6mo ago
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1 comments
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jerpint
7mo ago
I like the concept!
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The paradox of shipping more while coding less
(jerpint.io)
1 points
by
jerpint
7mo ago
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0 comments
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Humans.md
(jerpint.io)
2 points
by
jerpint
7mo ago
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1 comments
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Coding at the Speed of Thought
(jerpint.io)
1 points
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jerpint
7mo ago
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0 comments
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jerpint
8mo ago
Oops- typo in the title, should be “How I Maintain My Blog in the age of Agents”
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I Maintain My Blog in the Age of Agents
(jerpint.io)
3 points
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jerpint
8mo ago
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1 comments
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jerpint
8mo ago
Author here - I agree that to learn the best thing is to implement and fail along the way. My point was I would never professionally opt to write a sorting algorithm instead of using the builtin sort() most languages come equipped with
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jerpint
8mo ago
Author here - wrote this myself but I’ll take that as a complement :)
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I don't write code anymore – I sculpt it
(jerpint.io)
45 points
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jerpint
8mo ago
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62 comments
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jerpint
9mo ago
Nice! I made my own version of this many years ago, with a very basic manim animation https://www.jerpint.io/blog/2021-03-18-cnn-cheatsheet/
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The Rise of the 0.1x Engineer
(jerpint.io)
3 points
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jerpint
10mo ago
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0 comments
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jerpint
10mo ago
I did a post [0] about this last year, and vanilla LLMs didn’t do nearly as well as I’d expected on advent of code, though I’d be curious to try this again with Claude code and codex [0] https://www.jerpint.io/blog/2024
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Different Models, Same Slop?
(jerpint.io)
2 points
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jerpint
10mo ago
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1 comments
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jerpint
1y ago
Best is very subjective depends what you want it to do and if you want to fine tune and how big you consider small
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jerpint
1y ago
Hey this is awesome! I built something very similar, context-llemur, it’s a CLI and MCP interface to manage context https://github.com/jerpint/context-llemur Major difference is a conversation doesn’t get stored, the L
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jerpint
1y ago
I like the concept and have built my own context management tool for this very purpose! https://github.com/jerpint/context-llemur Though instead of being a single file, you and LLMs cater your context to be easily sear
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jerpint
1y ago
This is great! Gonna try this on my next project
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jerpint
1y ago
I also developed yet another memory system ! https://github.com/jerpint/context-llemur Although I developed it explicitly without search, and catered it to the latest agents which are all really good at searching and r
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jerpint
1y ago
I’ve been building a tool to help me co-manage context better with LLMs When you load it to your favourite agents, you can safely assume whatever agent you’re interacting is immediately up to speed with what needs to get done, and it too ca
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