agent/papers/items/2026-2607-05666-what-do-ai-agents-actually-change-an-empirical-taxonomy-of-mutation-patterns-in-.md

Paper: What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests

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type: paper title: What Do AI Agents Actually Change? An Empirical Taxonomy of Mutation Patterns in Performance-Improving Pull Requests authors: Illia Dovhoshliubnyi, Nima Soroush, Ashkan Sami, Alexander Brownlee year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.05666 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-06 updated_at: 2026-07-06 status: queued relevance: high topics:

• coding-agent methods:

benchmarks:

models:

datasets:

• cs.SE
• cs.AI 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: coding-agent
• arXiv categories: cs.SE, cs.AI
• 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/2607.05666