Context is becoming the bottleneck in AI-assisted development. Not model capability — models are improving fast enough that they're regularly not the constraint. What limits the quality of AI-generated code is the quality of context those models receive.
For Figma-to-code workflows, context comes in two fundamentally different forms: pixel context (screenshots, rendered images) and structured context (typed IR, tokens, semantic relationships). These aren't just different formats for the same information. They're different categories of input, with different properties, different loss characteristics, and different ceilings on what an agent can produce from them.
The industry is still largely using pixel context. That's a mistake. figmascope exports structured context — the right input from the start. Here's how the two categories compare, and why the difference determines whether your generated code composes, diffs, and survives contact with a real design system.
What pixel context is
Pixel context is any rasterized representation of a design: a screenshot exported from Figma, a PNG from "Export frame", a render from a design tool. It's what you get when you press Cmd+Shift+4 over your Figma canvas.
