agent/papers/items/2026-2607-04697-ai-agent-pull-requests-on-github-frequency-structure-and-merge-conflict-rates.md

Paper: AI Agent Pull Requests on GitHub: Frequency, Structure, and Merge Conflict Rates

---

type: paper title: "AI Agent Pull Requests on GitHub: Frequency, Structure, and Merge Conflict Rates" authors: George Xu, Arjun Subramanian, Nithilan Karthik year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.04697 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-06 updated_at: 2026-07-07 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• multi-agent methods:

benchmarks:

models:

datasets:

• cs.SE related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: ai-agent, coding-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: ai-agent, coding-agent
• inferred topics: agent-evaluation, coding-agent, multi-agent
• arXiv categories: cs.SE
• collection score: 13

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.04697