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Comment by w10-1

The key finding is that "compression" of doc pointers works.

It's barely readable to humans, but directly and efficiently relevant to LLM's (direct reference -> referent, without language verbiage).

This suggests some (compressed) index format that is always loaded into context will replace heuristics around agents.md/claude.md/skills.md.

So I would bet this year we get some normalization of both the indexes and the referenced documentation (esp. matching terms).

Possibly also a side issue: API's could repurpose their test suites as validation to compare LLM performance of code tasks.

LLM's create huge adoption waves. Libraries/API's will have to learn to surf them or be limited to usage by humans.

parent w10-1 9 months ago

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