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Perplexity Without the Filler

LLM-Powered Search without the LLM-Powered Fluff. Too much text: I'm already tired of wading through LLM-generated meaningless filler when debugging my code.

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    github.com

    Tree-sitter-backed code indexing for LLM agents

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  2. A CLI tool for managing and comparing LLM prompts using semantic diffing instead of traditional text-based comparison.

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  3. After struggling with complex prompt engineering and unreliable parsing, we built L1M, a simple API that lets you extract structured data from unstructured text and images.

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  5. Thematic links across books, automatically discovered by Claude.

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