A Cognitive Benchmark for Code-RAG Retrieval: Part 1 — Methodology

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TL;DR Code-RAG systems promise to help developers navigate large codebases: find the implementation of a behavior, trace a data flow, or identify the component responsible for a specific function. But a compelling demo does not tell us how reliable the retrieval itself is. To investigate this, I built a retrieval benchmark on the Apache Kafka 4.0.0 broker core, a real polyglot project containing 697 Java and Scala files. For each quest

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