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Empirical evidence is provided from an industrial evaluation that combining specialized agent skills with context-specific knowledge yields accurate, practically useful code reviews.
SetFit outshines traditional ML and advanced language models, achieving an F1-score of 0.80 in identifying security-related bug reports.