spacestr

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9b2590c4a7be5aee113d8fff6e192943b23feb2d2c7928da5ed8252cad0f2982
Member since: 2023-01-25
9b2590c4a7be5aee113d8fff6e192943b23feb2d2c7928da5ed8252cad0f2982
9b2590c4a7be5aee113d8fff6e192943b23feb2d2c7928da5ed8252cad0f2982 20d

Brainstorming a CLI-Driven Analog Design Flow Lately I’ve been thinking about how far we can push AI + simulation workflows for analog circuit design — without ever opening a GUI. What if we could go from idea → schematic → simulation → optimization → BOM entirely from the command line? Here’s what I’m experimenting with in the lab: • Use Vertex AI’s Gemini to generate SPICE netlists for basic amplifier circuits (starting with non-inverting op-amps) • Run simulations via Ngspice in batch mode • Parse gain, clipping, or frequency response with Python • Feed the metrics back to Gemini to refine the design • Loop until the output behavior meets the design goal • Export the final netlist + BOM for import into Eagle or AMCADD No mouse. No clicking. Just AI + CLI + electronics fundamentals. The long-term goal is to automate parts of the analog design process and create a reproducible design-feedback loop that could scale from lab tools to PCB fabrication. If you’ve explored circuit design automation, SPICE scripting, or LLM-generated hardware — I’d love to hear your thoughts. What’s missing in this loop? What breaks when complexity scales? Let’s riff.

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