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> Now, no LLM is currently anywhere near doing that for ElasticSearch.

You could probably feed all of ElasticSearch into an LLM and ask it to "reimplement it" successfully. But why would you even bother? There's already an existing open-source alternative called OpenSearch [1].

[1]: https://github.com/opensearch-project/opensearch

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His point was that we are quickly entering the land of “Source Available” not really being a shield if someone’s willing to spend some time in claude code.

If you viewed the source and reproduced a software project you don't have a license to redistribute, that's cut and dry copyright violation. If the code looks similar enough you are toast. That's why there's the concept of a "clean room" reimplementation. The same is true if you feed the source into the context of an LLM and asked it to reproduce it. You have done nothing but introduce the possibility of transcription bugs.

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