> But he has since been wrong about a great many things.
This is true for almost all of the tech bros / influencers / CEOs. Being right once and getting rich does not make them smarter or better than anyone. Unfortunately our society doesn‘t view it that way - hence here we are, stuck with the Elons and Thiels of the world. And it‘s hurting us yet they’re on a pedestal
Serena is more about text editing and better code search tooling while lumen is (a) chunking code with tree sitter and (b) storing embeddings (vectors) generated by an embedding model (ideally ones which are for code) which you then can search against. Effectively it‘s RAG for code made available as an MCP server.
This reduces tool calls (and thus saves times and tokens) because instead of „trying“ / „guessing“ names repeatedly, tools like claude code typically get useful search results on the first try.
Claude for example may search for „dbal“ via regex, but the function name is „sql“ - semantic search will find that while for regex, claude would try 3 additional guesses before it actually finds what its looking for. Hope this helps!
Can someone explain to me what this is / how it works - the readme is barely understandable for me and sounds like LLM gibberish. What is ambiguity front loading even?
Does this solve indexing of codebases like Cursor does, or do you still need tools / plugins like Lumen (https://github.com/ory/lumen) for that in order to work in larger codebases without wasting tens of thousands of tokens on tool calls and brute force guessing with grep?
> But he has since been wrong about a great many things.
This is true for almost all of the tech bros / influencers / CEOs. Being right once and getting rich does not make them smarter or better than anyone. Unfortunately our society doesn‘t view it that way - hence here we are, stuck with the Elons and Thiels of the world. And it‘s hurting us yet they’re on a pedestal