OnTrack PCB Design Podcast 2025 Year in Review

OnTrack · 30 Dec 2025 · 22m · Episode 328

AI in practice: 3 real uses of AI described

What this episode covers

Host Zach Peterson reviews 2025 industry trends, highlighting how tariffs reshaped global supply chains and spurred UHDI manufacturing expansion in the US. Guests including David Schild, Tyler Richards, and Greg Papandrew discuss the economic realities of reshoring, the technical challenges of high-layer count and rigid-flex PCBs, and the specific innovations in solder paste and substrate materials. The episode also examines the practical application of AI in embedded development and supply chain management, noting both its utility in automating coding tasks and its current limitations in deterministic engineering optimization.

AI in practice

Where this conversation describes AI being used to build or deliver a product. Part of the AI in practice tracker.

Sourcing & supply chainBreadboard (machine learning algorithm)scrubbing within 15 seconds

A machine learning algorithm extracts bills of material from PDF datasheets for cable assemblies, allowing users to import and scrub the data within 15 seconds.

“What we have done here at Bradboard is we developed a machine learning algorithm that can effectively read pages of PDS. And I'm talking like the good old military cable assemblies, right? And we have the capability to extract the bill of material from such PDFs.”

Speaker 9 · Hear it at 11:12

Engineering & simulationArduino IDE (AI coding agent)not once did I touch the keyboard

An AI agent in the Arduino IDE autonomously identifies hardware, installs libraries, writes code, compiles, uploads, and iterates on embedded code based on voice feedback without keyboard input.

“I just installed our do we know IDE? It did the, it, it identified that I had an Arduino hooked up to my computer. It installed all the libraries for it. Then it started writing code. I told it, I said, I want you to write an example, this and that. So rights code. It blinks the LED. It compiles it. It uploads it. It runs it.”

Speaker 12 · Hear it at 15:08

Engineering & simulationLLMs (for PCB trace optimization)10 iteration

LLMs are used to iteratively adjust PCB trace dimensions (e.g., stripline width) by generating and running optimization code, though the speaker notes they lack native optimization algorithms.

“And we started with simple task, uh, tasks like, uh, okay, here is, uh, um, strip line, make it 15. So it does 10 iteration and makes it 51 and then you ask it, well, can you just make it closer to 50 and that's another 10 iteration and so on.”

Speaker 13 · Hear it at 16:39

Mentioned

Companies
Chaliumet, DuPont, SpaceX, Green Source, TTM, Intel, Bradboard, T-Set, ACS, Calumet
Products
Pyralux, Arduino, Arduino Uno R4
Also
Zach Peterson, Digiki

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