【Morning Read】Google's Vibe Coding: Prototype Design of the New AI Studio
Insights Summary
1. Vibe Coding Revolutionizes Design Workflow
Vibe Coding enables rapid prototyping and quick validation — from simple layouts to complex interactions. By delivering interactive prototypes directly to stakeholders, it reduces unnecessary meetings and wasted engineering effort.
Related reading:
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2. AI Models Interpret Natural Descriptions
AI can turn designer intuition — phrases like “shake vigorously” or “aggressive” — into executable logic. This empowers non-technical designers to create advanced interactions without coding skills.
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3. Phased Prototype Development Strategy
Adopt a product manager mindset:
- Break designs into smaller parts.
- Start with core screens to validate look and feel.
- Refine details post-approval for engineering optimization.
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4. Figma + Vibe Coding Integration
- Figma: Best for high-level alignment — themes, colors, typography.
- Vibe Coding: Best for complex interaction testing not possible in Figma.
- Using both addresses both macro and micro design needs.
More detail:
【Morning Read】Cursor Talk to Figma MCP
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5. Inspiration and Component Libraries
- Build a personal inspiration database.
- Maintain component code libraries.
- Let AI remix and adapt these resources into new designs.
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6. Breaking Mental Boundaries
Adopt a “nothing is impossible” mindset — pursue ideas that seem impossible in traditional tools to unlock full creative potential.
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7. Creating an ‘Inevitability Halo’
Produce fast, convincing prototypes to make stakeholders feel the design, creating a sense that adoption is inevitable.
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Vibe Coding: Transforming the Design Workflow
Vibe Coding reshapes design iteration — enabling designers to:
- Start from an idea and evolve it step-by-step.
- Replace explain-heavy meetings with functional prototypes.
- Improve clarity and reduce costly revisions later.
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Decision-Making with Vibe Coding
- Show, don’t tell: Interactive demos reduce misunderstandings.
- Seeing a prototype accelerates alignment and decisions.
- Eliminates vague instructions and rework.
> “Instead of talking endlessly in meetings, just show them the prototype—they’ll say: Wow, this feels so much better!”
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Case Study: Amar Rashi & Google AI Studio
Former Design Lead at 11 Labs, now Head of Product & Design at Google DeepMind. He uses Vibe Coding extensively to prototype and refine Google AI Studio.
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AI + Content Monetization
Example: AiToEarn官网 — an open-source AI content monetization platform with:
- Cross-platform publishing.
- Analytics.
- AI model ranking (AI模型排名).
- Helps designers and creators prototype, share, and monetize ideas at scale.
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Innovative Prototype Design with AI Studio
Nano Banana Model
A new image editing model generating strong user engagement.
Creative Concept: Era-Spanning Image Transformation
Personalized transformation across historical eras adds playfulness and showcases model strength.
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UX Enhancement Ideas
- 3D tilt with lighting animation.
- Polaroid fade-in effects.
- Drag-and-drop positioning.
- Shake-to-refresh interaction.
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Shake-to-Refresh: Translating Intuition into Code
Natural human request → “Shake forcefully to refresh”
AI interprets intuitive language into precise interaction logic.
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Virtual Clothing Try-On
AI Studio enables real-time try-on simulations, combining user images with branded assets.
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| Strategy | Description | Advantage |
| --- | --- | --- |
| Descriptive Prompting | Provide natural language instructions for visuals/interactions. | Easily express abstract ideas, AI converts to code. |
| Visual & Code References | Use real React/Figma code as input. | High fidelity reproduction; less bias. |
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Vibe Coding vs Traditional Tools
When Vibe Coding excels:
- Complex interactions (gesture control, custom scroll).
- Quickly test feel of UX.
- Translate intuitive prompts into code.
When Figma excels:
- High-level and early-stage alignment.
- Detailed visual refinement.
| Feature | Vibe Coding | Figma |
| --- | --- | --- |
| Primary use | Interaction validation | Macro visual alignment |
| Fidelity | 70–80% | 100% detail match |
| Interaction complexity | Natural language → code | Limited complex simulation |
| Decision stage | “How does it feel?” | “Do we like the theme?” |
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Reimagination and Practice of Google AI Studio
Pain Points of Old AI Studio
- Poor density for developer use.
- Oversized top/side bars.
- Cramped layouts.
- Confusing navigation.
- Weak model discovery.
- Outdated visuals.
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Design Exploration (Figma Stage)
- Increased vertical space.
- Simplified chat layouts.
- Expandable code blocks.
- Token count visibility.
- But lacked strong buy-in.
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The Power of Vibe Coded Prototype
- Fade-in effects during load/switch.
- Forefront model display.
- Clear top-level categories.
- Simplified navigation (“one-stop playground”).
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Micro-interactions
- Click hint pop-ups.
- Auto-selection on suggestion click.
- Expand/collapse code blocks.
- Hover to show cost estimates.
- Seamless model switching.
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Large-Scale Prototyping Techniques
- Break design into parts.
- Use developer mode to export styles.
- Build UI elements step-by-step.
- Integrate APIs like Gemini.
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Fidelity Stages
| Stage | Fidelity Target | Focus | Purpose |
| --- | --- | --- | --- |
| Concept Proof | 70–80% | Core look & feel | Gain buy-in |
| Refinement | 90–100% | Pixel perfection, system tokens | Implementation accuracy |
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Lessons from Practice
- Use Figma developer mode styles in AI.
- Try multiple prompt rewrites.
- Maintain component libraries.
- Let AI act as creative improvisation partner.
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Mindsets That Unlock Vibe Coding Potential
- Nothing is impossible — test seemingly impossible ideas.
- AI as a collaborator — inspire and improvise.
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For more tools to bridge design ideation and multi-platform publishing, explore AiToEarn官网 and related AiToEarn文档 for integrating AI prototyping, content distribution, and monetization.
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Source: YouTube Video
