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AI Studio Implementation Summary

Date: 2025-10-08 Status: ✅ Phase 1 Complete (AI Studio Tab - Loveable-style)

Overview

Successfully implemented the AI Studio Tab - a Loveable.dev-inspired split-screen interface for AI-assisted development. This is the first of three planned tab modalities for the CODITECT V5 frontend.

Three Tab Modalities Architecture

The V5 frontend now supports three distinct interaction modes:

1. AI Studio Tab ✅ COMPLETE

  • Route: /ai-studio and /ai-studio/:sessionId
  • Purpose: AI-assisted prototyping for novice users
  • layout: Loveable-style split-screen (chat left, preview right)
  • Features:
    • 4 llm workflow modes (Single, Parallel, Sequential, Consensus)
    • Live code preview with device size toggle (Mobile/Tablet/Desktop)
    • Real-time code execution in iframe sandbox
    • Multi-model selection (1-3 llms)
    • Code/Preview view toggle

2. workspace Tab 🔲 TODO

  • Route: /workspace and /workspace/:sessionId
  • Purpose: Traditional file-based development for power users
  • layout: VS Code-like with activity bar, editor tabs, panels
  • Source: Migrate from /src/frontend-original/src/components/workspace/unified-workspace.tsx

3. theia IDE Tab ✅ EXISTING

  • Route: /ide and /ide/:sessionId
  • Purpose: Full professional cloud IDE for advanced users
  • layout: Eclipse theia embedded in iframe
  • Features: Full VS Code compatibility, extensions, terminal

Components Created

/src/components/ai-studio/

ComponentPurposeLinesStatus
ai-studio-tab.tsxMain split-screen container with resizable panels95✅ Complete
chat-panel.tsxMulti-llm chat with 4 workflow modes283✅ Complete
model-selector.tsxDynamic model selection (1-3 models)115✅ Complete
preview-panel.tsxLive preview with iframe & device sizes228✅ Complete
index.tsBarrel export8✅ Complete

Total: 729 lines of TypeScript/React code

/src/stores/

StorePurposeLinesStatus
ai-studio-store.tsZustand state management for AI Studio500+✅ Complete

Features:

  • Multi-tab session management
  • Workflow mode selection (Single/Parallel/Sequential/Consensus)
  • 1-3 model selection per tab
  • Message history per tab
  • Generated code tracking
  • localStorage persistence

/src/services/

ServicePurposeLinesStatus
preview-service.tsCode execution & HTML preview generation450+✅ Complete

Features:

  • Detects code type (React, HTML, CSS, JavaScript)
  • Generates sandboxed HTML for iframe
  • React component transformation (JSX → createElement)
  • Device-responsive preview (mobile/tablet/desktop)
  • Code safety validation
  • Markdown code block extraction

/src/types/

FilePurposeLinesStatus
ai-studio.tsType definitions (WorkflowMode, llmMessage, etc.)35✅ Complete

Integration

layout Component (/src/components/layout.tsx)

Updated to support tab modalities:

export type TabModality = 'workspace' | 'ai-studio' | 'theia' | null

interface layoutProps {
// ...existing props
tabModality?: TabModality
}

Behavior:

  • tabModality="ai-studio" → Full-screen split view (no side panel)
  • tabModality="workspace" → VS Code-like layout (with side panel)
  • tabModality="theia" → Embedded theia IDE (with side panel)
  • showIDE={false} → Regular page content (docs, login, etc.)

Routes (/src/app.tsx)

Added 6 new routes:

// AI Studio
/ai-studio → AI Studio tab (default session)
/ai-studio/:sessionId → AI Studio tab (specific session)

// workspace
/workspace → workspace tab (default session)
/workspace/:sessionId → workspace tab (specific session)

// theia (existing, now with explicit modality)
/ide → theia IDE (default session)
/ide/:sessionId → theia IDE (specific session)

Key Features Implemented

1. 4 llm Workflow Modes

Single Mode

  • One llm response at a time
  • Simplest workflow for beginners

Parallel Mode

  • 2-3 llms respond simultaneously
  • Side-by-side comparison
  • User can see different approaches

Sequential Mode

  • Chain llms (llm1 → llm2)
  • Output of first llm becomes input to second
  • Refinement workflow

Consensus Mode

  • Multiple llms vote on best answer
  • Synthesized result shown
  • Highest quality output

2. Live Code Preview

  • Iframe Sandbox: sandbox="allow-scripts allow-same-origin"
  • Device Sizes: Mobile (375px), Tablet (768px), Desktop (100%)
  • Code/Preview Toggle: View source or rendered output
  • Refresh: Reload preview
  • Open in New Tab: Full-screen preview

3. Resizable Split-Screen

  • Default: 40% chat, 60% preview
  • Range: 25-75% (draggable divider)
  • Smooth Transition: CSS transition on width change
  • Visual Feedback: Divider highlights on hover

4. Model Selection

  • Primary: Always shown (required)
  • Secondary: Shown for multi-model modes (Parallel, Sequential, Consensus)
  • Tertiary: Shown for Parallel/Consensus (optional)
  • Filtering: Can't select same model twice
  • Dynamic Loading: Fetches available models from LM Studio

Mock Data & TODO

Current Mock Implementations

The following are currently mocked and need real API integration:

  1. ai-studio-store.tsloadModels()

    // TODO: Replace with actual LM Studio API call
    const mockModels: llmModel[] = [
    { id: 'qwen/qwq-32b', name: 'QwQ 32B', provider: 'lmstudio', available: true },
    { id: 'meta-llama-3.3-70b', name: 'Meta Llama 3.3 70B', provider: 'lmstudio', available: true },
    // ...
    ]
  2. ai-studio-store.tsmockllmCall()

    // TODO: Replace with actual LM Studio HTTP call
    async function mockllmCall(modelId: string, message: string) {
    await new Promise(resolve => setTimeout(resolve, 1000)) // Simulate delay
    return { content: `Response from ${modelId}: ${message}` }
    }
  3. preview-service.tstransformJSXToJS()

    // TODO: Replace with Babel transformation for production
    // Current implementation is simplified and handles basic JSX only

Integration TODOs

  • Connect loadModels() to LM Studio API: http://localhost:1234/v1/models
  • Connect sendMessage() to LM Studio chat API: http://localhost:1234/v1/chat/completions
  • Add error handling for offline LM Studio
  • Add retry logic for failed llm calls
  • Add rate limiting for llm requests
  • Add Babel transformer for JSX → JS (production)
  • Add syntax highlighting for code preview
  • Add export functionality (download generated code)
  • Add session persistence to FoundationDB

File Structure

/workspace/PROJECTS/t2/
├── src/
│ ├── components/
│ │ ├── ai-studio/ # ✅ NEW
│ │ │ ├── ai-studio-tab.tsx
│ │ │ ├── chat-panel.tsx
│ │ │ ├── model-selector.tsx
│ │ │ ├── preview-panel.tsx
│ │ │ └── index.ts
│ │ └── layout.tsx # ✅ UPDATED (tabModality support)
│ ├── stores/
│ │ └── ai-studio-store.ts # ✅ NEW
│ ├── services/
│ │ └── preview-service.ts # ✅ NEW
│ ├── types/
│ │ └── ai-studio.ts # ✅ NEW
│ └── app.tsx # ✅ UPDATED (new routes)
└── docs/
├── v5-frontend-integration-plan.md # Original plan
└── ai-studio-implementation-summary.md # This file

Testing Instructions

Local Development

  1. Start the development server:

    cd /workspace/PROJECTS/t2
    npm run dev
  2. Access AI Studio tab:

    http://localhost:5173/ai-studio
  3. Test workflow modes:

    • Select "Single" mode → Enter prompt → Check single response
    • Select "Parallel" mode → Select 2-3 models → Enter prompt → Check multiple responses
    • Select "Sequential" mode → Select 2 models → Enter prompt → Check chained output
    • Select "Consensus" mode → Select 2-3 models → Enter prompt → Check synthesized result
  4. Test preview panel:

    • Ask llm: "Build a React component with a button"
    • Check code appears in preview panel
    • Toggle device sizes (Mobile/Tablet/Desktop)
    • Toggle Code/Preview views
    • Test Refresh and "Open in new tab"
  5. Test resizable panels:

    • Drag divider left/right
    • Verify chat panel stays within 25-75% range

Expected Behavior

What Should Work:

  • Route navigation (/ai-studio)
  • UI rendering (split-screen layout)
  • Workflow mode selection
  • Model dropdowns (1-3 models based on mode)
  • Message input/display
  • Device size toggles
  • Code/Preview toggle
  • Panel resizing

⚠️ What Won't Work Yet (mocked):

  • Actual llm responses (returns mock data)
  • Model availability (shows hardcoded list)
  • Code execution (basic iframe only)
  • Session persistence (in-memory only)

Next Steps

Phase 8: Testing (Current)

  • Run local development server
  • Test all workflow modes
  • Test preview panel features
  • Test device size toggles
  • Verify responsive layout

Phase 9: workspace Tab (Next)

  • Copy V4 Unifiedworkspace components
  • Adapt to V5 routing/layout
  • Integrate with aiStudioStore (reuse session logic)
  • Test multi-session tabs

Phase 10: LM Studio Integration

  • Implement real loadModels() API call
  • Implement real sendMessage() API call
  • Add error handling
  • Add loading states
  • Test with actual llm responses

Phase 11: Production Readiness

  • Add Babel transformer for JSX
  • Add syntax highlighting
  • Add export functionality
  • Add session persistence to FoundationDB
  • Add rate limiting
  • Add comprehensive error handling

Success Metrics

MetricTargetStatus
Components created5✅ 5/5
Stores created1✅ 1/1
Services created1✅ 1/1
Routes added6✅ 6/6
Workflow modes4✅ 4/4
Device sizes3✅ 3/3
Lines of code700+✅ ~1200
Type safety100%✅ TypeScript
Local testingPass⏳ Pending

Architecture Decisions

1. Zustand for State Management

  • Why: Lightweight, TypeScript-friendly, easy persistence
  • Alternative considered: Redux (too complex for this use case)

2. Iframe for Preview

  • Why: Sandboxed execution, prevents XSS, isolated styles
  • Alternative considered: Shadow DOM (less isolation)

3. Mock llm Calls

  • Why: Allows frontend development without backend dependency
  • Plan: Replace with real API calls in Phase 10

4. No Side Panel in AI Studio

  • Why: Loveable-style focuses on full-screen chat experience
  • Tradeoff: Can't access sessions/models sidebar (use Header instead)

5. Resizable Panels (25-75% range)

  • Why: Prevents panels from becoming unusable
  • User Control: Still offers significant flexibility

Known Limitations

  1. JSX Transformation: Simplified implementation, doesn't handle complex JSX

    • Impact: Advanced React components won't preview correctly
    • Mitigation: Add Babel transformer in Phase 11
  2. Mock llm Responses: Not real AI responses

    • Impact: Can't test actual llm quality
    • Mitigation: Integrate LM Studio API in Phase 10
  3. No Session Persistence: Sessions lost on page reload

    • Impact: User loses conversation history
    • Mitigation: Add FoundationDB persistence in Phase 11
  4. No Export Functionality: Can't download generated code

    • Impact: Users must copy-paste
    • Mitigation: Add export button in Phase 11
  5. No Syntax Highlighting: Code shown as plain text

    • Impact: Less readable code preview
    • Mitigation: Add Monaco editor or Prism.js in Phase 11

Comparison: V4 vs V5 AI Studio

FeatureV4 (frontend-original)V5 (AI Studio)
layoutSidebar + MainSplit-screen
llm ModesSingle only4 modes (Single/Parallel/Sequential/Consensus)
PreviewNoneLive iframe preview
Device SizesN/AMobile/Tablet/Desktop
ResizableNoYes (25-75%)
Model Selection1 model1-3 models
Code ViewN/ACode/Preview toggle

References

  • Original Plan: /workspace/PROJECTS/t2/docs/v5-frontend-integration-plan.md
  • Loveable.dev: Inspiration for split-screen layout
  • V4 llm Widget: /workspace/PROJECTS/t2/src/browser/llm-integration/llm-chat-widget.tsx
  • V4 workspace: /workspace/PROJECTS/t2/src/frontend-original/src/components/workspace/unified-workspace.tsx

Completion Date: 2025-10-08 Implementation Time: ~3 hours Lines of Code: ~1,200 Status: ✅ Ready for local testing