AI Agents and LLMs Target RTL Development Constraints in Modern Chip Design

AI Agents and LLMs Target RTL Development Constraints in Modern Chip Design Modern chip design faces bottlenecks in engineering time, driving the adoption of LLMs and verification-driven AI agents to streamline register transfer level (RTL) development. RTL development and verification require specialized hardware knowledge, precise reasoning, and repeated interactions with electronic design automation (EDA) tools. LLMs accelerate code generation, and AI agents iteratively correct code using verification feedback.

现代芯片设计面临工程时间限制，AI智能体被用于加速RTL编码与纠错 现代芯片设计日益受到工程耗时的制约，大语言模型与AI智能体正被引入寄存器传输级（RTL）的开发与验证流程中以提升效率。 现代芯片设计日益受限于工程开发时间。 RTL开发与验证需要专业硬件知识、严谨推理以及与EDA工具的反复交互。

Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware knowledge, precise reasoning, and repeated interaction with electronic design automation (EDA) tools. LLMs have accelerated code generation, and AI agents extend their impact by using verification feedback to iteratively correct errors.