Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study
The study explores the use of philosophical dispositions to guide AI-assisted code review processes. By implementing specific epistemological frameworks, the system aims to enhance the quality of code reviews by directing attention to various types of issues. The findings indicate a significant improvement in the convergence with human reviewers and the identification of unique code issues.
- ▪The study evaluates a system that constrains AI reviewer behavior through philosophical dispositions.
- ▪The disposition system achieved 46% convergence with human reviewers and identified unique findings at a 75% rate.
- ▪A controlled baseline comparison showed that 51% of disposition findings were not produced by generic expert reviewer prompting.
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Computer Science > Software Engineering arXiv:2605.23108 (cs) [Submitted on 21 May 2026] Title:Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study Authors:Kaushal Bansal View a PDF of the paper titled Philosophical Dispositions as Behavioral Constraints for AI-Assisted Code Review: An Empirical Study, by Kaushal Bansal View PDF HTML (experimental) Abstract:AI-assisted code review tools typically operate as generic "expert reviewer" agents, producing homogeneous findings regardless of the analysis type needed.
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