mlsanityData to 7 Oct 2026

FluxEDA: A Unified Execution Infrastructure for Stateful Agentic EDA

arXiv 2603.25243 ↗First posted 26 Mar 2026cs.AR cs.AIcited by 0

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

Large language models and autonomous agents are increasingly explored for EDA automation, but many existing integrations still rely on script-level or request-level interactions, which makes it difficult to preserve tool state and support iterative optimization in real production-oriented environments. In this work, we present FluxEDA, a unified and stateful infrastructure substrate for agentic EDA. FluxEDA introduces a managed gateway-based execution interface with structured request and response handling. It also maintains persistent backend instances. Together, these features allow upper-layer agents and programmable clients to interact with heterogeneous EDA tools through preserved runtime state, rather than through isolated shell invocations. We evaluate the framework using two representative commercial backend case studies: automated post-route timing ECO and standard-cell sub-library optimization. The results show that FluxEDA can support multi-step analysis and optimization over real tool contexts, including state reuse, rollback, and coordinated iterative execution. These findings suggest that a stateful and governed infrastructure layer is a practical foundation for agent-assisted EDA automation.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 7 of its 20 references that are in the map. First posted on arXiv 26 Mar 2026.

Builds on

7 of 20 references.

Closest ancestors · 3

Same direction, newest first

  1. 2025AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents1 Aug
  2. 2025MCP4EDA: LLM-Powered Model Context Protocol RTL-to-GDSII Automation with Backend Aware Synthesis Optimization25 Jul
  3. 2023ChatEDA: A Large Language Model Powered Autonomous Agent for EDA20 Aug

Other references · 4

  1. 2021Machine Learning for Electronic Design Automation: A Surveycited by 71
  2. 2025Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Serverscited by 62
  3. 2023iEDA: An Open-Source Intelligent Physical Implementation Toolkit and Librarycited by 7
  4. 2025The Dawn of Agentic EDA: A Survey of Autonomous Digital Chip Designcited by 7

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  3. 2026Can AI Agents Really Complete RTL-to-GDS? Lessons from Benchmarking Tool-Interactive EDA Workflows
  4. 2026Agentic Electronic Design Automation: A Handoff Perspective
  5. 2026ZhuLong: Execution-Grounded LLM Agent for EDA Scripting with Offline API Self-Exploration
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  8. 2026Back to the Future: Rethinking EDA Infrastructure for Agentic Systems in Chip Design Verification