Researchers have proposed a new method called SeqFeed to improve the generation of RTL (Register-Transfer Level) code in hardware design. This process involves automating the creation of low-level code that describes how digital circuits behave over time. The challenge is conveying temporal information, such as signal behavior across multiple clock cycles, to agents that generate this code. To address this, SeqFeed uses two mechanisms: SeQuery and SeGraph. SeQuery allows agents to query signal values at specific times using an SQL-like language, while SeGraph tracks signal propagation across clock cycles. Experimental results show that SeqFeed improves pass rates for various large language models (LLMs). --- Why it matters: This matters because accurate RTL code generation is crucial in hardware design, and improving this process can lead to faster and more efficient chip development. By enabling agents to better understand sequential behavior, SeqFeed has the potential to streamline the design process and reduce errors. Source: https://arxiv.org/abs/2608.16934