Agentic Hardware Design as Repository-Level Code Evolution
JA title: ハードウェア設計の自動進化：エージェント型コード進化フレームワーク
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- 01Article focus
ハードウェア設計の仕様書をAIが自動的に改善・最適化していくシステムです。
- 02Operational lens
半導体・電子機器メーカーの設計部門で、CADツールとAIを組み合わせた自動化導入が考えられます。
- 03Verify in source
arXiv (cs.AI) (Research): check the dataset, evaluation setup, and adoption assumptions for R&D.
We present HORIZON, a self-evolving agent framework that treats hardware design as repository-level code evolution. A Markdown harness is compiled into a project pack containing domain knowledge, an executable evaluator, an acceptance predicate, and a git/runtime policy; a hands-free agent loop then evolves an isolated git worktree, using repository operations for state management, tracing, and replay. This extends prior works of repository-scale self-evolution from EDA soft…
ゼロビズAX View — How Japanese companies can apply it
半導体・電子機器メーカーの設計部門で、CADツールとAIを組み合わせた自動化導入が考えられます。ただしハードウェア設計は企業特有の評価基準（電力、レイアウト、製造性など）が重要。既存EDAツール（Cadence、Siliconのど）との連携や、社内ドメイン知識のMarkdown化が実装の鍵。情報不足のため概算費用感は未詳。
Plain-language glossary
Simple explanations of the technical terms used in this article.
- AIエージェント
- An AI that carries out multi-step tasks on its own, using different tools to get the job done.
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Primary source: https://arxiv.org/abs/2606.28279v1
This article is an AI-generated summary of overseas primary sources. Translations or summaries may be imperfect — always confirm the original before making implementation decisions. The "ゼロビズAX View" is our applied interpretation and does not guarantee any specific outcome.
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