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liszper

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投稿

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1 ポイント·投稿者 liszper·2 か月前·0 コメント

SOEL – A programming language that's a language

github.com
2 ポイント·投稿者 liszper·4 か月前·1 コメント

Show HN: A new platform similar to codepen.io

crazycontext.com
1 ポイント·投稿者 liszper·10 か月前·0 コメント

Interactive CartPole RL Sandbox by Gemini 2.5 Pro in One Prompt

crazycontext.com
1 ポイント·投稿者 liszper·10 か月前·1 コメント

Childhood collectibles outperform traditional markets

longnostalgia.com
2 ポイント·投稿者 liszper·10 か月前·3 コメント

コメント

liszper
·2 か月前·議論
Made this for myself, please fork it and build your own harnesses, there is really not a lot to it. The best coding agents are custom-tailored to your needs.
liszper
·4 か月前·議論
This idea came to me in a dream. The starting point is a neuroscience finding that's been replicated across multiple fMRI studies: programming languages are not languages. When you read code, your brain routes it through the Multiple Demand network, the same circuitry used for logic puzzles and spatial reasoning. The language network stays dark. Your brain sees through the syntactic dressing and recognizes code for what it is: a deterministic puzzle, not communication.

This means no programming language has ever actually been a language in the neurological sense. Even "natural language programming" efforts like Inform 7 fail the test, the programmer still maintains a mental model of state machines and boolean flags, which is pure MD network territory.

SOEL is an experiment: what if the source code were genuine natural language prose — narratives with entities, intent, ambiguity, and social context and the compiler handled the translation to executable code? You write something closer to a specification document than a program. The compiler semantically encodes it, flags genuine ambiguities as compiler errors (which you resolve through dialog, not syntax fixes), and generates GHC-compilable Haskell.

It's impractical, unreliable, and fascinating. The theoretical foundation is in SPEC.md if you want the full neuroscience deep-dive.
liszper
·10 か月前·議論
hackers can also cook and not become a chef
liszper
·10 か月前·議論
you can OSINT me pretty easily, not going to post it here for the sake of anonymity against crawlers who train models on our conversations. today's HN comments are tomorrow's coding LLMs
liszper
·10 か月前·議論
No, It has something to do with experience. The system is highly integrated to other platforms and have to stay afloat during burst loads.
liszper
·10 か月前·議論
I see myself as a hacker.
liszper
·10 か月前·議論
200k DAU, 7 million registered, ~50 microservices, large monorepo
liszper
·10 か月前·議論
I'd argue this just proves my point.
liszper
·10 か月前·議論
I'm also a lisper, yes.
liszper
·10 か月前·議論
Yes, exactly. Learning new things is hard. Personally it took me about 200 hours to get started, and since then ~2500 hours to get familiar with the advanced techniques, and now I'm very happy with the results, managing extremely large codebases with LLM in production.

For context before that I had ~15 years of experience coding the traditional way.
liszper
·10 か月前·議論
I agree with your point. I think this is the reason why most developers still don't get it, because AI coding ultimately requires a "higher level" methodology.
liszper
·10 か月前·議論
With all due respect, you sound like someone who is just getting familiar with these tools. 100 more hours spent with AI coding and you will be much more productive. Coding with AI is a slightly different skill from coding, similar how managing software engineers is different from writing software.
liszper
·10 か月前·議論
most SWE folks still have no idea how big the difference is between the coding agents they tried a year ago and declared as useless and chatgpt 5 paired with Codex or Cursor today

thanks for the article, it's a good one
liszper
·10 か月前·議論
Funky how you can just generate these things in 2 minutes
liszper
·10 か月前·議論
lmao