Agent-Orchestration in Autonomous Chip Design
On the map: LLM agents and tool use → Software engineering coding agents
Abstract (arXiv)
Recent developments in large language models (LLMs) and tool-using agents encourage people to explore the potential of using agents in chip design. The core question is what kind of AI we really need in such a sophisticated industry. To this end, we bring the idea of modeling a chip-design superintelligence as an enormous textitAI-organization.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 4 of its 7 references that are in the map. First posted on arXiv 14 Aug 2026.
Builds on
4 of 7 references.
References · 4
- 2017Attention Is All You Needcited by 60,361
- 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
- 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,695
- 2023Learning to Design Analog Circuits to Meet Threshold Specificationscited by 9
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- 2026LLM for EDA in Front-End Design: Challenges and Opportunities
- 2025Control Plane as a Tool: A Scalable Design Pattern for Agentic AI Systems
- 2026Agentic Hardware Design as Repository-Level Code Evolution
- 2025ASIC-Agent: An Autonomous Multi-Agent System for ASIC Design with Benchmark Evaluation
- 2026Retrieve, Schedule, Reflect: LLM Agents for Chip QoR Optimization
- 2026From Pragmas to Partners: A Symbiotic Evolution of Agentic High-Level Synthesis
- 2026Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence