agent/papers/items/2026-2607-13196-from-human-centric-to-agentic-code-review-the-impact-of-different-generations-of.md

Paper: From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality

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type: paper title: "From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality" authors: Suzhen Zhong, Shayan Noei, Bram Adams, Ying Zou year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.13196 code_url: source: arxiv collected_at: 2026-07-27 published_at: 2026-07-14 updated_at: 2026-07-14 status: queued relevance: high topics:

• computer-use
• multi-agent
• planning
• tool-use methods:

benchmarks:

models:

datasets:

• cs.SE related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 collection_queries: ai-agent

One-line Takeaway

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

Why Collected

• matched queries: ai-agent
• inferred topics: computer-use, multi-agent, planning, tool-use
• arXiv categories: cs.SE
• collection score: 15

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/2607.13196