renfei-design

renfei-design / design-jarvis

Public

An AI-native design team for VS Code — one orchestrator routes your requests to specialist agents (UX, UI, research, content) that collaborate autonomously. Design Lead reviews every output and drives next steps until the project is complete. Memory persists decisions across sessions. Just talk to @Design Jarvis and it handles the rest.

12
0
100% credibility
Found Mar 23, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Design Jarvis is a set of AI assistants for design work that act as a collaborative team of specialists to create UI/UX flows, visuals, and content.

How It Works

1
🔍 Discover Design Jarvis

You find this smart AI design team online that helps create beautiful user interfaces by working like real designers.

2
📥 Add to your project

You download the team files and put them in your project's folder so they're ready to help.

3
💬 Start chatting

In your editor's AI chat, you say hello to Design Jarvis and describe your design idea.

4
🧑‍💼👩‍🎨 Team jumps in

The orchestrator calls in specialists like UX and UI designers who collaborate to build your design step by step.

5
🔧 Tweak your style

You adjust colors, fonts, and rules in a simple settings file to match your project's look and feel.

6
📝 Review and refine

The design lead checks the work, suggests improvements, and polishes everything to perfection.

🎉 Designs ready!

You get complete wireframes, visuals, and text ready to use, with memory saving your progress for next time.

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Star Growth

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AI-Generated Review

What is design-jarvis?

Design Jarvis turns VS Code Copilot Chat into an ai native design agency, where you message @Design Jarvis and it routes requests to specialist agents for UX research, wireframing, UI polish, content, and reviews. These agents collaborate autonomously with a Design Lead enforcing quality gates, while persistent memory tracks decisions across sessions via simple YAML config tweaks. It solves solo devs' pain of juggling design tasks without a team, delivering ai native ux design and product design outputs like wireframes or prototypes right in your editor.

Why is it gaining traction?

Unlike single-prompt AIs that hallucinate generic designs, this uses role-separated agents for deeper ai native design thinking—UX flows stay low-fi, UI focuses on visuals, and memory prevents context loss. Devs hook on the extensibility: drop in custom agents or skills for Figma reads or a11y audits, plus ready extras for code prototypes. It's a fresh take on ai native design system patterns, blending github ai native development with chat-based workflows.

Who should use this?

Frontend devs prototyping react native screens or ai native chip design UIs in VS Code. Indie hackers needing fast landing pages without design tools. Product folks in small teams handling ai native product design from research to handoff.

Verdict

Solid concept with excellent docs and MIT license, but 12 stars and 1.0% credibility scream early alpha—test it for ai native github experiments, not mission-critical work. Maturity lags; watch for community growth before committing.

(198 words)

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