Copperhead

Copperhead is an AI agent for hardware teams, described by its makers as “Cursor for circuit boards.” Instead of helping with application code, it works inside KiCad projects. The docs describe an open-source CLI agent that can read a product brief or a one-line hardware change request, write a proposal, edit `.kicad_sch` and `.kicad_pcb` files, update design documents and BOM context, then run KiCad checks until the change passes. The problem Copperhead targets is design drift. In hardware work, one choice can appear in a schematic, bill of materials, power budget, pinout, firmware assumption, and several markdown documents. If those artifacts stop matching, the team may not find out until bring-up. Copperhead tries to keep those files aligned by treating docs as agent memory and verification targets. The official site says bring-up surprises can lead to respins costing $5,000 to $50,000 and six to eight weeks, which explains the focus on verification before handoff. Copperhead installs with `npm i -g copperhead`. The FAQ and docs list Node 20 or newer, KiCad with `kicad-cli` on the path, and a model API key such as Claude or GPT-5. It is not an autorouter and does not invent a new file format. Your KiCad install remains the editor, git remains the safety net, and a human still signs off. That framing is important: Copperhead is an assistant for real project files, not a black-box board generator. The workflow is staged. A brief can become specs, architecture notes, parts choices, schematics, PCB artifacts, firmware, docs, and verification outputs, with gates between stages. For edits to existing boards, Copperhead can inspect project files, propose a change, unlock edit tools after validation, edit anchored regions, run ERC or DRC, check docs for drift, and record decisions. The captured product page cited 248 GitHub stars and 408 installs per month. Use Copperhead if you build PCBs in KiCad and want AI help that respects hardware constraints and verification. It is especially interesting for founders, hardware engineers, and embedded developers who already use git and markdown design docs. It is less useful if your design flow is not KiCad-based or if you expect fully autonomous board layout. The value is in controlled agent edits, repeatable checks, and keeping hardware decisions visible before expensive mistakes ship to fabrication. For evaluation, start with a small workflow and check the official docs, setup path, and pricing page before connecting production data. Confirm which model accounts, API keys, hosting resources, and permissions the tool needs. Then test one realistic task end to end: setup, first run, error handling, output review, and cleanup. This keeps the decision grounded in your own environment instead of launch-page claims. It also helps teams decide whether the tool belongs in a prototype, an internal workflow, or a customer-facing agent stack.