Agentic Code Review in the Terminal: A Trajectory-Level Analysis of Behavior, Cost, and Human-Alignment
A new preprint analyzes the behavior of agentic code reviewers operating in terminal-based environments. The study finds that these agents achieve higher review precision but also incur significant exploration and validation overhead. Successful reviews are linked to stronger planning and reduced downstream validation, suggesting that evaluation of such systems should account for their operational trajectories and costs.
Why it matters: This research offers important insights into the behavioral patterns and operational costs of AI-driven code review agents, which could inform the development of more efficient and effective developer tools.
Full story at: arXiv Software Engineering ↗