Beyond Summaries: Structure-Aware Labeling of Code Changes with Large Language Models

ArXi:2605.26100v1 Announce Type: cross Code review is a critical practice in software engineering, yet the growing scale and frequency of code patches in modern projects, together with the widespread adoption of AI code assistants, make manual review increasingly challenging. Identifying the types of changes within a patch, such as renames, moves, or logic modifications, can substantially improve review efficiency by enabling prioritization, filtering, and automation.