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dsh-design-qa

Workflow Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install sunxin-ai/dsh-design-qa

Paste the following prompt into your AI chat to install this plugin:

Execute dsh plugin install sunxin-ai/dsh-design-qa in DeepSeek Harness to install this plugin; the source code is located at https://github.com/sunxin-ai/dsh-design-qa.

About this plugin

While DeepSeek models excel at code generation, their inability to "see" images creates a bottleneck for automated design verification and fidelity checking. The dsh-design-qa plugin bridges this gap by giving text-based models a pair of "eyes." It operates via a tool-calling mechanism where the model autonomously decides to invoke a vision API when necessary, rather than flooding the main context window with image data. This approach is cost-effective and flexible, supporting any LLM that declares tool use.

Designed specifically for product design workflows, this plugin enables a "Design to Code to Verify" loop. It allows you to generate code from a design mockup and have the model judge whether the implementation matches the original intent. By leveraging a high-precision multimodal model (Qwen 3.8-max) as the vision engine, it ensures reliable detection of design discrepancies. It is an essential tool for developers and product managers looking to streamline the transition from design concepts to production-ready code.

Use Cases

  • Generate code from design mockups and automatically check implementation fidelity
  • Judge differences between design mockups and implementation code for auto-fixing
  • Enable text-only models to recognize images for development assistance

Best For

  • Developers building automated design review workflows
  • Product managers needing to convert designs to code and verify fidelity
  • Researchers using DeepSeek Harness to extend model capabilities