app
AI Flow: Reverse Engineering
Public Made by Adomby adom
Photos of a PCB to a tagged KiCad copy: parts placed, copper and nets with their evidence, a schematic, a measured confidence score, bench tests and a video of the run.
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README.md+1@@ -3,6 +3,7 @@ ::adom-video{src="/adom/ai-flow-reverse-engineering/render/videos/driver-re3-full-flow.video.json"} [Download the 1080p video](/download/adom/ai-flow-reverse-engineering/0.3.0/driver-re3-full-flow-1080p.mp4), which shows the photos better than the player copy, or the [full run](/download/adom/ai-flow-reverse-engineering/0.3.0/driver-re3-full-run.tar.gz) with every board, audit and recorded view.+ Photos of a PCB in, a KiCad copy out: the parts identified, the functional blocks named, every island of copper traced from the photos, the connections nobody can see listed and left unrouted with their evidence, the layer count stated from what is known, two confidence scores, and the tests that would settle what is still unknown. It is a standalone Rust program. It measures from the photos, generates the board and checks. Routing the hidden connections is an optional later stage. The AI running it supplies what takes judgement: what a part is, what a block does, what a net is called. Every claim carries an evidence tag: `SEEN`, `MEASURED`, `DATASHEET`, `INFERRED` or `UNKNOWN`.