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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 дней назад·0 comments

Show HN: Clangine-de-Poitrine

github.com
3 points·by jerpint·3 месяца назад·1 comments

The paradox of shipping more while coding less

jerpint.io
1 points·by jerpint·4 месяца назад·0 comments

Humans.md

jerpint.io
2 points·by jerpint·4 месяца назад·1 comments

Coding at the Speed of Thought

jerpint.io
1 points·by jerpint·5 месяцев назад·0 comments

I Maintain My Blog in the Age of Agents

jerpint.io
3 points·by jerpint·5 месяцев назад·1 comments

I don't write code anymore – I sculpt it

jerpint.io
45 points·by jerpint·6 месяцев назад·62 comments

The Rise of the 0.1x Engineer

jerpint.io
3 points·by jerpint·7 месяцев назад·0 comments

Different Models, Same Slop?

jerpint.io
2 points·by jerpint·8 месяцев назад·1 comments

comments

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