EDATracer is a knowledge-graph-backed AI agent framework for answering questions about chip design artifacts, claiming better accuracy and up to 3.2x lower token cost than Cursor and Claude Code on a new 90-question benchmark.
In Proceedings of the 2020 International Symposium on Physi- cal Design, ISPD ’20, 119–126
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EDATracer: An Agentic Framework for Large-Scale EDA Artifact Analysis
EDATracer is a knowledge-graph-backed AI agent framework for answering questions about chip design artifacts, claiming better accuracy and up to 3.2x lower token cost than Cursor and Claude Code on a new 90-question benchmark.