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Shebe is a high-performance content search service designed specifically for codebases, offering rapid full-text search capabilities powered by the BM25 algorithm. It eliminates the trade-off between precision and efficiency for developers using AI coding assistants by providing confidence-scored, pattern-classified results with extremely low query latency and high indexing speeds. Unlike structural tools, Shebe excels at keyword-based discovery across various file types, making it an ideal companion for AI-assisted development and large-scale code exploration.