# Paper: ArchEval: Measuring AI Agents as Computer Architects

---
type: paper
title: "ArchEval: Measuring AI Agents as Computer Architects"
authors: Chenyu Wang, Zishen Wan, Jeffrey Ma, Shvetank Prakash, Zhenting Qi, Haebin Do, Andy Cheng, Arya Tschand, et al.
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2607.03601
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
  - memory
  - reasoning
  - tool-use
  - workflow-agent
methods:
  -
benchmarks:
  -
models:
  -
datasets:
  - cs.AR
related_concepts:
  -
related_jobs:
  -
related_experiments:
  -
related_projects:
  -
collection_score: 21
collection_queries: ai-agent, llm-agent, tool-use
---

## One-line Takeaway

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

## Why Collected

- matched queries: ai-agent, llm-agent, tool-use
- inferred topics: agent-evaluation, memory, reasoning, tool-use, workflow-agent
- arXiv categories: cs.AR
- collection score: 21

## 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/2607.03601
