Image Understanding with Qwen 3.8
Visual understanding lets a coding agent work from the design itself instead of a textual description of it.
Qwen 3.8 is a natively multimodal model, which means it can work with images and text together in the same context. A screenshot of a UI becomes another kind of input the model can reason about alongside code, prompts, and tool results.
I added image understanding to Coding App to take advantage of that. You can now attach a visual reference—a Figma export, a screenshot of a mockup, or a photo of an interface—and the model analyzes the layout, spacing, typography, and UI structure before writing any code.
This fills an important gap in front-end work. Describing a design in words is lossy: someone has to translate the visual into a prompt, and every translation step drops detail. When the agent can see the design itself, it can work from the visual structure and styling instead of reconstructing them from a description, giving it a much richer source of truth for reproducing the interface.
The flow follows the same inspectable pattern as the rest of Coding App: the image is visible as part of the conversation context, the model's observations about the design appear in its response, and the resulting code edits go through the same visible workspace tools as any other change.