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53% Positive
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#code#loc#few#lines#more#ponytail#line#bad#same#write

Discussion (12 Comments)Read Original on HackerNews
Optimizing for fewest LOC is probably slightly more bad than more LOC, and both are bad for the same reason - it makes it harder for humans to interpret and understand wtf terrible decisions and tradeoffs the LLM made
Concision begets perplexity.
;-)
1 - https://github.com/multica-ai/andrej-karpathy-skills
2 - https://en.wikipedia.org/wiki/Constraint_programming
This scales about as well as it sounds like it would.
Multi-model review does a decent job identifying things theyâre outright wrong. The resulting code still doesnât feel elegant writ large.
If you want good output, it seems that iterating on the output is inferior to providing better input inclusive of code examples. And by the time youâve made all the decisions that go into that, something like ponytail is superfluous.
(All that said, I have ponytail installed in most harnesses.)
Not only the GitHub stars are clearly manipulated with bots and fake accounts, this whole "skills.md" paradigm is close to being a pseudoscientific exercise in attempting to steer LLMs but throwing huge markdown files at it and expecting the desired result to happen won't work in the long run.
A genuinely simple codebase is table stakes for a project like this.
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That's enough Claude speak for one day