arXiv:2606. 28126v1 Announce Type: new Abstract: This article addresses the combinatorial complexity inherent in modern high-tech system design by presenting automation-in-design (AiD) as a transformative paradigm.
Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.
AI agents that generate final answers based on user input often do not meet the needs of creative fields. Fields such as structural design and architecture need interactive systems that help users externalise and develop ideas, explore alternatives, and refine partial solutions.
Researchers developed an automated framework that helps AI models generate CAD programs more accurately and efficiently.
arXiv:2607. 07521v1 Announce Type: cross Abstract: AI agents that generate final answers based on user input often do not meet the needs of creative fields.
The article discusses how large language models (LLMs) are transforming electronic design automation (EDA) by moving beyond isolated task assistance to a hierarchical framework of roles: Generator, Agent, and Orchestrator. It highlights that current LLM-based solutions often produce plausible but not physically correct hardware, suffer from fragmented tools, and lose design context, which hampers scalability to industrial designs. The authors argue for a standardized, physics-aware Orchestrator that integrates tools and agents across the EDA flow to improve reliability and accessibility of hardware design.
arXiv:2606. 27960v1 Announce Type: cross Abstract: Software engineering is an intellectually demanding, creative discipline that juggles a web of interdependent tasks to design, build, and assure the quality of increasingly complex systems.
arXiv:2608. 14035v1 Announce Type: new Abstract: Recent developments in large language models (LLMs) and tool-using agents encourage people to explore the potential of using agents in chip design.