Nan Guan

SeqFeed: Improving Agentic RTL Code Generation with Sequential Behavior Feedback

Experimental results across multiple LLMs demonstrate the effectiveness of SeqFeed, which comprises two complementary mechanisms: an SQL-like waveform query language that enables agents to anchor queries to semantic events and sample signal values at relative time points, and a dependency graph that tracks signal propagation across clock cycles.