agent/papers/items/2026-2607-03525-gameenginebench-evaluating-coding-agents-on-real-c-runtime-environments.md

Paper: GameEngineBench: Evaluating Coding Agents on Real C++ Runtime Environments

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type: paper title: "GameEngineBench: Evaluating Coding Agents on Real C++ Runtime Environments" authors: Brian La, Sejoon Chang, Ben Kim, Junyoung Bae, Aamish Ahmad Beg, Sei Chang, Gonzalo Gonzalez-Pumariega year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.03525 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-03 updated_at: 2026-07-03 status: queued relevance: high topics:

• agent-evaluation
• coding-agent
• embodied-agent
• memory
• tool-use
• world-model methods:

benchmarks:

models:

datasets:

• cs.SE
• cs.CL related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: coding-agent

One-line Takeaway

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

Why Collected

• matched queries: coding-agent
• inferred topics: agent-evaluation, coding-agent, embodied-agent, memory, tool-use, world-model
• arXiv categories: cs.SE, cs.CL
• collection score: 16

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/2607.03525