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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 dni temu·0 comments

Show HN: Clangine-de-Poitrine

github.com
3 points·by jerpint·3 miesiące temu·1 comments

The paradox of shipping more while coding less

jerpint.io
1 points·by jerpint·4 miesiące temu·0 comments

Humans.md

jerpint.io
2 points·by jerpint·4 miesiące temu·1 comments

Coding at the Speed of Thought

jerpint.io
1 points·by jerpint·5 miesięcy temu·0 comments

I Maintain My Blog in the Age of Agents

jerpint.io
3 points·by jerpint·5 miesięcy temu·1 comments

I don't write code anymore – I sculpt it

jerpint.io
45 points·by jerpint·6 miesięcy temu·62 comments

The Rise of the 0.1x Engineer

jerpint.io
3 points·by jerpint·7 miesięcy temu·0 comments

Different Models, Same Slop?

jerpint.io
2 points·by jerpint·8 miesięcy temu·1 comments

comments

jerpint
·11 dni temu·discuss
Solutions like these are really cementing the view that LLMs are becoming a commodity
jerpint
·4 miesiące temu·discuss
I like the concept!
jerpint
·5 miesięcy temu·discuss
Oops- typo in the title, should be “How I Maintain My Blog in the age of Agents”
jerpint
·6 miesięcy temu·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 miesięcy temu·discuss
Author here - wrote this myself but I’ll take that as a complement :)
jerpint
·6 miesięcy temu·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 miesięcy temu·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 miesięcy temu·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
·w zeszłym roku·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 lata temu·discuss
Do you mean to say that changes I make from GitHub.dev are reflected on my local machine?
jerpint
·3 lata temu·discuss
Ouch
jerpint
·4 lata temu·discuss
This is incredible (I’m assuming this was chatGPT output)