Deterministic context
Better firmware starts before the model does.
Flash doesn't dump raw files at a model. A deterministic pipeline turns your project into structured engineering context the model can actually use.
Deterministic?
Same project in, same context out — no model in the loop.
The context layer is pure static analysis. It is reproducible and auditable: there is no language model guessing about your board, so the facts the model receives are stable, inspectable, and the same every run.
Only after that groundwork does an LLM enter — and it works from a compact, structured brief instead of a pile of pasted files.
From project to context
Hardware & firmware ingest
Reads schematics, datasheets, and the firmware itself to detect the platform, MCU, peripherals, buses, network, and protocols — a structured model of the board.
Project index
Scans the codebase, detects the build system and vendor trees, and hashes everything so context can be rebuilt incrementally.
Code intelligence
Extracts symbols and builds include, call, and module graphs with metrics — how the firmware is actually wired together.
Architecture
Infers layers, flags smells, and scores the project, then distills everything into one compact brief the model reads.
Why it matters
The model spends its budget reasoning, not re-reading your repo.
Compact, structured context is what makes a local model genuinely useful for firmware — and what cuts noise and cost when you choose a cloud model. It is the difference between an assistant that guesses from generic examples and one that works from your pins, your SDK, and your architecture.