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Achieving 89.84% labeling accuracy without any pre-labeled training data could revolutionize how software issues are categorized and managed.
LLM-generated code refactorings can achieve a 94.2% pass rate with the right agentic refinements, addressing critical failure modes that have hindered their practical use.
