HackerLangs
TopNewTrendsCommentsPastAskShowJobs

jerpint

no profile record

Submissions

Show HN: Woltspace – a lodge for your coding agents

woltspace.com
2 points·by jerpint·19 giorni fa·0 comments

Show HN: Clangine-de-Poitrine

github.com
3 points·by jerpint·3 mesi fa·1 comments

The paradox of shipping more while coding less

jerpint.io
1 points·by jerpint·4 mesi fa·0 comments

Humans.md

jerpint.io
2 points·by jerpint·4 mesi fa·1 comments

Coding at the Speed of Thought

jerpint.io
1 points·by jerpint·5 mesi fa·0 comments

I Maintain My Blog in the Age of Agents

jerpint.io
3 points·by jerpint·5 mesi fa·1 comments

I don't write code anymore – I sculpt it

jerpint.io
45 points·by jerpint·6 mesi fa·62 comments

The Rise of the 0.1x Engineer

jerpint.io
3 points·by jerpint·7 mesi fa·0 comments

Different Models, Same Slop?

jerpint.io
2 points·by jerpint·8 mesi fa·1 comments

comments

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