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Tooling for AI agents to build KiCad project from simple circuit description

A new open-source tool called burn2kicad converts a text netlist and component assets into a KiCad project, enabling AI agents to generate PCB designs without handling KiCad's complex file formats. The tool automates symbol and footprint library setup, datasheet copying, and schematic generation with labeled net stubs.

read1 min views1 publishedJul 9, 2026
Tooling for AI agents to build KiCad project from simple circuit description
Image: source

burn2kicad

converts a small component asset directory plus a text netlist into a KiCad project. This is an aid for AI agents to work on stripped down design without needing to deal with complexities of KiCad's file formats.

go install github.com/oxplot/burn2kicad@latest

Create a documented input directory:

burn2kicad init ./input

Populate ./input/components/<component-dir>/

for each distinct part:

symbol.kicad_sym

footprint.kicad_mod

datasheet.pdf

model.step

optional

Edit ./input/netlist.txt

to declare components and named nets, then generate a KiCad project:

burn2kicad convert ./input ./kicad-output

Preview planned writes without changing the output directory:

burn2kicad convert --dry-run ./input ./kicad-output

burn2kicad

writes project-local symbol and footprint library tables, copies datasheets and optional STEP models, and generates a schematic containing labeled net stubs for the nets in netlist.txt

.

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