The case for a compiler.
Hardware teams are bottlenecked by hand-built schematics and a workforce that can't scale. Here's what's broken, what changed, and where Coppr sits against the rest of the field.
Hardware design hasn't had its Cursor moment.
Every hardware team is bottlenecked by the same thing: a tiny number of EEs translating intent into schematics, layouts, BOMs, and Gerbers — by hand.
The result is slow iteration, fragile knowledge, and a generation of hardware-curious software builders who simply give up. Software got Cursor. Hardware is still waiting.
Why nowThree forces just converged.
LLMs already know electrical engineering.
Frontier models have read every datasheet, app note, and textbook. What they lack isn't knowledge — it's a structured representation they can edit reliably. That is a tooling problem, not an intelligence problem.
Open-weight models crossed the capability threshold.
Kimi K2, DeepSeek, Qwen 3 — open models can now be fine-tuned for narrow domains with real results. Domain-specific hardware models are now buildable without depending on a frontier lab's roadmap.
Manufacturing capacity is no longer the bottleneck.
JLCPCB, PCBWay, and assembly services have turned fab into a commodity — 5-day boards with full assembly are routine. The constraint has moved upstream, into the design itself.