AnalogCoder introduces a revolutionary approach to analog circuit design by leveraging training-free LLM agents for Python code generation. The agent incorporates tailored domain-specific prompts and a circuit tool library to design analog circuits with high success rates. Extensive experiments reveal AnalogCoder’s superiority over standard LLM-based methods, producing 5 more circuit designs than existing models.

• Training-free code generation for analog circuit design
• Circuit tool library for reusable modular sub-circuits
• Outperforming other LLM-based methods in circuit design

This research presents a breakthrough in analog circuit design, offering a more accessible and efficient way for chip designers, including non-experts, to create complex circuits. Further exploration can enhance AnalogCoder’s capabilities and scalability in analog chip design.