Code-Based PCB Design with AI: Inside atopile
About this episode
This episode explores the code-first, AI-driven approach to PCB design with atopile's co-founders.
Code-based PCB design is reshaping how engineers build hardware, and in this OnTrack Podcast episode, host Zach Peterson sits down with Ioannis Papamanoglou and Narayan Powderly, co-founders of atopile, to explore their code-first, AI-driven approach to PCB design. Drawing on backgrounds at Tesla and across the electronics industry, the founders explain why hardware has lagged behind software tooling and how capturing engineering intent in code can unlock automation across the entire design process — from requirements capture to schematic capture and layout. You'll learn why the real bottleneck in AI for PCB design is tooling and orchestration rather than raw model capability, how deterministic and nondeterministic layers work together, and why the designer's role is shifting toward system architecture as low-level boilerplate disappears. The conversation also covers test board generation, the Jevons paradox effect on engineering resources, supply chain and firmware integration, and a live demo showing atopile working alongside Altium Designer. Whether you're a PCB designer, hardware engineer, or curious about AI in electronics, this episode offers a grounded look at where…
Topics covered
- code-based PCB design
- AI in electronics
- hardware engineering
- automation in design
- system architecture
- supply chain integration
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