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jerpint

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Show HN: Woltspace – a lodge for your coding agents

woltspace.com
2 points·by jerpint·19 days ago·0 comments

Show HN: Clangine-de-Poitrine

github.com
3 points·by jerpint·3 months ago·1 comments

The paradox of shipping more while coding less

jerpint.io
1 points·by jerpint·4 months ago·0 comments

Humans.md

jerpint.io
2 points·by jerpint·4 months ago·1 comments

Coding at the Speed of Thought

jerpint.io
1 points·by jerpint·5 months ago·0 comments

I Maintain My Blog in the Age of Agents

jerpint.io
3 points·by jerpint·5 months ago·1 comments

I don't write code anymore – I sculpt it

jerpint.io
45 points·by jerpint·6 months ago·62 comments

The Rise of the 0.1x Engineer

jerpint.io
3 points·by jerpint·7 months ago·0 comments

Different Models, Same Slop?

jerpint.io
2 points·by jerpint·8 months ago·1 comments

comments

jerpint
·12 days ago·discuss
Solutions like these are really cementing the view that LLMs are becoming a commodity
jerpint
·4 months ago·discuss
I like the concept!
jerpint
·5 months ago·discuss
Oops- typo in the title, should be “How I Maintain My Blog in the age of Agents”
jerpint
·6 months ago·discuss
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
jerpint
·6 months ago·discuss
Author here - wrote this myself but I’ll take that as a complement :)
jerpint
·6 months ago·discuss
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/
jerpint
·7 months ago·discuss
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/2024-12-30-advent-of-code-llms/
jerpint
·9 months ago·discuss
Best is very subjective depends what you want it to do and if you want to fine tune and how big you consider small
jerpint
·last year·discuss
> This code repository and the model weights are licensed under the MIT License. DeepSeek-R1 series support commercial use, allow for any modifications and derivative works, including, but not limited to, distillation for training other LLMs.

Wow. They’re really trying to undercut closed source LLMs
jerpint
·3 years ago·discuss
Do you mean to say that changes I make from GitHub.dev are reflected on my local machine?
jerpint
·3 years ago·discuss
Ouch
jerpint
·4 years ago·discuss
This is incredible (I’m assuming this was chatGPT output)