AI circuit design you can inspect, validate, and continue in KiCad

AI can make circuit design faster, but an attractive diagram is not engineering evidence. A useful AI circuit design system should expose its assumptions, preserve component sources, validate connectivity, and produce editable files that fit an established EDA workflow.

What “AI-assisted” means in Circuit Weaver

The conversational layer helps gather requirements, compare IC candidates, and guide decisions. The design itself is represented in DesignIR, a typed intermediate model shared by the generators and validators. This separation keeps the workflow from depending on a chat transcript or treating natural-language output as a netlist.

• Requirements become structured data. Rails, interfaces, constraints, and part preferences remain available throughout the project.
• Research keeps its provenance. IC choices, citations, and session decisions are recorded in the project design log.
• Validation is executable. Circuit Weaver checks the model and generated artifacts rather than asking a language model whether its own answer looks correct.
• The output stays portable. Native KiCad schematics, BOM data, placement evidence, and firmware handoff files do not lock the design inside a chatbot.

From prompt to engineering artifact

1. State the design intent. Describe the product, power inputs, required rails, MCU or processor, sensors, communications, and connectors.
2. Resolve uncertainties. The workflow surfaces missing constraints and evaluates parts instead of silently inventing them.
3. Build the intermediate design. DesignIR gives components, nets, interfaces, evidence, and constraints a durable representation.
4. Run deterministic checks. Electrical safety, signal integrity, power domains, thermal constraints, and placement readiness are checked before handoff.
5. Generate and review. Open the native schematic in KiCad, inspect the supporting reports, and continue through layout and fabrication review.

Example: describe an embedded controller board

A useful input includes measurable constraints, not only a product name. For example:

Design a 12 V industrial sensor node with:
- 3.3 V MCU and protected power input
- RS-485 with termination and ESD protection
- two 0–10 V analog inputs
- SWD programming header
- pluggable field connectors
- parts available for prototype assembly

The structured workflow can turn that intent into a component plan, connections, validation findings, a KiCad schematic, test-point information, and manufacturing data. An engineer can then inspect each assumption and finish the PCB in familiar tools.

How this differs from an AI schematic image

An image generator produces pixels. A circuit-design workflow must produce connected components with exact pins, nets, values, packages, and constraints. Circuit Weaver targets the latter: editable KiCad artifacts backed by structured state and review evidence.

Use it from your preferred interface

Install Circuit Weaver as a Python package, run the offline design wizard, call its HTTP API, import it directly in Python, or register its skills for Claude Code, Codex, and OpenCode. Each interface reaches the same core design and validation engine.