Open Source Project #114: caveman — Why Use Many Token When Few Token Do Trick
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Introduction "why use many token when few token do trick" This is article #114 in the "One Open Source Project a Day" series. Today's project is caveman — a Skill that makes AI coding agents talk like a caveman, cutting 65% of output tokens while keeping code content byte-for-byte exact. 82,947 Stars. This is a meme project and a serious engineering tool. LLMs have a default verbosity bias trained into them by RLHF: they like saying "Certainly!", "I'd be happy to help!", "The reason you're…
1Key Takeaways
- Introduction "why use many token when few token do trick" This is article #114 in the "One Open Source Project a Day" series.
- Today's project is caveman — a Skill that makes AI coding agents talk like a caveman, cutting 65% of output tokens while keeping code content byte-for-byte exact.
- This is a meme project and a serious engineering tool.
- LLMs have a default verbosity bias trained into them by RLHF: they like saying "Certainly!", "I'd be happy to help!", "The reason you're….
2AIWedia Score
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3Why it matters
Prompt and agent patterns spread fast; staying current saves time and token cost. DEV — Prompt Engineering reports that introduction "why use many token when few token do trick" This is article #114 in the "One Open Source Project a Day" series.
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