A “specrover” version of autocoderover also “conduct iterative code search accompanied by specification inference” on the purpose of the code to guide improvements. In our approach called autocoderover, llms are combined with sophisticated code search capabilities, ultimately leading to a program modification or patch. Code search apis are program structure aware.
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[july 18, 2024] autocoderover now supports a new mode that outputs the list of potential fix locations.
Instead of searching over files by plain string matching, autocoderover searches for relevant.
Autocoderover has two unique features: Grounding large language models via dynamic knowledge adapting over heterogeneous. We implement four agent strategies to optimize these tools’ usage.
