Using AI to generate Zephyr Devicetree nodes is appealing but risky due to hallucinated bindings and incorrect pin references. The key is building a self-validating AI skill rather than relying on ad-hoc prompts. The workflow starts with a structured hardware pinout table (pin, net, function, direction, active state), then uses a 'devicetree-author' skill that cites binding YAML files, cross-references the SoC reference manual, and runs dtc validation on the output. The skill can process individual peripheral requests or iterate through an entire spreadsheet, producing auditable, verified Devicetree overlays for boards like the NXP FRDM-MCXA156. Self-validation catches conflicts and errors that would otherwise cause silent hardware failures.
