Agent Review Comment Resolution

Cynthia, Widyasari, Roy, Zhang & Lo (Saskatchewan/SMU/Monash, arXiv 2607.21997): 54,713 agent-generated review comments from Copilot, Cursor and Codex across 341 Python GitHub repos — the first large-scale measurement of the review loop running the OTHER way, where the agent reviews and the human decides. ~71% of comments get resolved (Copilot 72.9%, Cursor 67.2%, Codex 54.8%), core developers do most of the resolving (78.1% of Copilot's), and an inline code suggestion is the strongest predictor (OR 1.62) while longer comments fare worse — but the model's AUC is 0.58, so most of what decides adoption is not in the comment. Card sorting 470 unresolved-but-argued discussions puts the modal failure at project context the agent cannot see (23.8%) and confident false positives (63), with outright hallucination at 4 of 470; another 24.3% were acted on and simply never marked resolved