Componentize

Each component wraps a single capability and exposes a consistent interface. Components communicate through shared WebSocket channels, keeping the browser and hardware synchronized in real time. The data flow is straightforward:

Input (sensor / user / device) → component → channel → UI or hardware output

Combining components is what makes the system useful. A webcam component feeds into a channel component which streams to a remote display. A serial component reads sensor data and pipes it to a Plotly component for live visualization. Speech input triggers a channel event that controls a connected device. Each combination is a working system built from parts that already exist.

The component library includes a built-in AI assistant that understands the system's structure. Rather than giving generic answers, it references the actual available components, their inputs, outputs, and events, and suggests how to assemble them for a given task. It's file-aware and provides minimal, targeted edits rather than full rewrites.

This was possible because the component interfaces were designed to be machine-readable from the start — standardized naming, consistent structure, and a component manifest that the assistant queries at runtime. The assistant doesn't replace understanding the system; it reduces the time between having an idea and having a working prototype.

Modular systems reduce development time not by doing less work, but by making sure the same work doesn't get done twice. Standardized interfaces are what make components composable — without them, every connection is a custom integration problem.

The AI assistant reinforced this: it only works because the interfaces are consistent enough to be interpretable. Designing for reuse and designing for machine legibility turned out to be the same decision. That changed how I think about system architecture generally — the abstractions you choose early determine what the system can become later.