Current Implementation

Comprehensive guidelines for AI-assisted development within the Editor platform

🎯 AI Command Center - Real-Time Mission Control

The ultimate interface for controlling and monitoring AI agents Version: 2.0 (Phases 1-5 Complete) Multi-Platform: Works with Cursor, Claude Code, Claude Desktop, and API Last Updated: December 28, 2025

📋 Overview

The AI Command Center is a real-time dashboard that provides unprecedented visibility and control over AI agent operations. It connects directly to MCP via WebSocket for instant updates.

┌─────────────────────────────────────────────────────────────────────┐
│  🎯 AI COMMAND CENTER                           ● LIVE    2 Events │
├─────────────────────────────────────────────────────────────────────┤
│                                                                     │
│  ┌─ CONTROLS ─────────────┐  ┌─ RECORDING ───────────────────────┐ │
│  │ [⏸ Pause] [▶ Resume]  │  │ [🔴 Record] [⏹ Stop] [🔄 Replay] │ │
│  │ [❌ Cancel]            │  │                                   │ │
│  └────────────────────────┘  └───────────────────────────────────┘ │
│                                                                     │
│  ┌─ ACTIVE TASK ─────────────────────────────────────────────────┐ │
│  │ 🚀 Quick Mode                                    IN_PROGRESS  │ │
│  │ "Implement user authentication with JWT tokens"               │ │
│  │ [████████████████░░░░░░░░░░░░░░] 45%                          │ │
│  │ Current: Implementing token validation...                     │ │
│  └───────────────────────────────────────────────────────────────┘ │
│                                                                     │
│  ┌─ AGENTS ─────────────────┐  ┌─ DECISIONS ─────────────────────┐ │
│  │ 🔍 Research    thinking  │  │ 💡 Use standalone components    │ │
│  │   "Found 3 patterns..."  │  │    confidence: 94%              │ │
│  │ ⚡ Implement   working   │  │ 💡 Use signals for state        │ │
│  │ ✅ Verify      idle      │  │    confidence: 91%              │ │
│  └──────────────────────────┘  └─────────────────────────────────┘ │
│                                                                     │
│  ┌─ LIVE CODE PREVIEW ───────────────────────────────────────────┐ │
│  │ 📝 src/auth/auth.service.ts            +12 -3                 │ │
│  │ ──────────────────────────────────────────────────────────────│ │
│  │ export class AuthService {                                    │ │
│  │   readonly token = signal<string | null>(null);█              │ │
│  │ ──────────────────────────────────────────────────────────────│ │
│  │ Line 45, Col 52                                               │ │
│  └───────────────────────────────────────────────────────────────┘ │
│                                                                     │
└─────────────────────────────────────────────────────────────────────┘

✅ Implemented Features

Phase 1: Task Control 🎮

Control task execution in real-time from the dashboard:

Control	Description	Keyboard
⏸ Pause	Pause current task, agent holds state	`Ctrl+P`
▶ Resume	Resume paused task	`Ctrl+R`
❌ Cancel	Cancel task entirely	`Ctrl+C`

WebSocket Events:

pause.task → Pauses MCP execution
resume.task → Resumes MCP execution
cancel.task → Cancels and cleans up

Phase 2: Decision Approval Workflow ✅

Human-in-the-loop decision making:

┌─────────────────────────────────────────────────────────────────────┐
│  ⚠️ DECISION APPROVAL REQUIRED                                      │
├─────────────────────────────────────────────────────────────────────┤
│                                                                     │
│  Confidence: [████████░░] 78%  (Auto-approve at 95%)               │
│                                                                     │
│  "Should I refactor this component to use signals?"                │
│                                                                     │
│  ┌──────────────────┐ ┌──────────────────┐ ┌──────────────────────┐│
│  │ Yes, use signals │ │ No, keep current │ │ Need more info       ││
│  └──────────────────┘ └──────────────────┘ └──────────────────────┘│
│                                                                     │
│  [❌ Reject]  [💬 Provide guidance...              ] [Send]         │
│                                                                     │
│  Auto-approving in 28s...                                          │
└─────────────────────────────────────────────────────────────────────┘

Features:

Modal overlay for pending approvals
Multiple choice options
Reject with reason
Provide custom guidance
Auto-timeout with default choice

Phase 3: Confidence Gate System 📊

Automatic approval based on confidence thresholds:

Confidence	Action	Color
≥ 95%	Auto-approve	🟢 Green
70-94%	Ask human	🟡 Yellow
< 70%	Require approval	🔴 Red

Configuration:

await commandCenter.requestApproval({
  decisionId: 'dec_123',
  question: 'Use signals for state management?',
  choices: ['Yes', 'No', 'Needs research'],
  confidence: 0.85,
  confidenceThreshold: 0.95, // Auto-approve threshold
  timeout: 30000, // 30 seconds
});

Phase 4: Live Code Preview 📝

Watch code being written in real-time:

// MCP sends code updates
await commandCenter.codePreview({
  file: 'src/auth/auth.service.ts',
  content: 'export class AuthService {\n  readonly token = signal...',
  cursor: { line: 45, column: 52 },
  diff: { added: 12, removed: 3 },
});

Features:

Real-time code streaming
Syntax highlighting
Cursor position indicator
Diff statistics (+/-lines)
File path display

Phase 5: Session Recording & Replay ⏺️

Record and replay entire coding sessions:

Recording Controls:

🔴 Record - Start capturing events
⏹️ Stop - End recording, save events
🔄 Replay - Play back recorded session

Replay Timeline:

┌─────────────────────────────────────────────────────────────────────┐
│  🔄 REPLAY MODE                                                     │
│  [|════════════●════════════════════════════════════════════════|]  │
│   0:00                    0:45                                 2:15 │
│                            ↑                                        │
│  [⏸ Pause]  [⏭ Speed: 2x]  [⏹ Stop Replay]                         │
└─────────────────────────────────────────────────────────────────────┘

Use Cases:

Debug complex tasks
Train other developers
Review AI decision patterns
Create documentation videos

🔌 Architecture

┌─────────────────────┐  HTTP POST  ┌─────────────────┐    WebSocket    ┌─────────────────┐
│                     │ ──────────► │                 │ ───────────────► │                 │
│   MCP Server        │             │  backend-ai-api │                  │  Angular UI     │
│   (Multi-Platform)  │             │                 │ ◄─────────────── │                 │
│                     │             │  Command Center │    Events/Cmds   │  Dashboard      │
│ • Cursor            │             │  Gateway        │                  └─────────────────┘
│ • Claude Code       │             └─────────────────┘
│ • Claude Desktop    │
│ • API               │
└─────────────────────┘

Multi-Platform Support: The Command Center works seamlessly with all supported platforms. Agent events and decisions are tracked and displayed regardless of which AI tool initiated the task.

Backend Gateway

// apis/backend-ai-api/src/app/command-center/command-center.gateway.ts

@WebSocketGateway({
  namespace: '/command-center',
  cors: { origin: /http:\/\/localhost:\d{4}/, credentials: true },
})
export class CommandCenterGateway {
  @WebSocketServer() server: Server;
  
  // Task control
  @SubscribeMessage('pause.task')
  handlePauseTask(client: Socket) { /* ... */ }
  
  @SubscribeMessage('resume.task')
  handleResumeTask(client: Socket) { /* ... */ }
  
  // Decision approval
  @SubscribeMessage('approve.decision')
  handleApproveDecision(client: Socket, data: ApprovalData) { /* ... */ }
  
  // Recording
  @SubscribeMessage('recording.start')
  handleStartRecording(client: Socket) { /* ... */ }
}

MCP Client

// MCP/mcp-development-ai/src/services/command-center.ts

export const commandCenter = new CommandCenterClient();

// Usage in MCP tools
await commandCenter.taskStarted('Implement auth', 'quick');
await commandCenter.decisionMade({ question, chosen, confidence });
await commandCenter.taskCompleted(result);

🛣️ Routes

Access the Command Center at:

http://localhost:5200/ai/command-center

Or navigate via the AI Intelligence Hub:

AI Dashboard → Command Center

📡 Events Reference

Outbound (Backend → Angular)

Event	Description	Payload
`task.started`	New task begins	`{ taskId, task, mode }`
`task.paused`	Task was paused	`{ timestamp, pausedBy }`
`task.resumed`	Task was resumed	`{ timestamp, resumedBy }`
`task.completed`	Task finished	`{ taskId, result }`
`task.cancelled`	Task was cancelled	`{ taskId, cancelledBy }`
`agent.spawned`	New agent created	`{ agentId, agentType }`
`agent.thinking`	Agent is thinking	`{ agentId, thought }`
`decision.made`	Decision was made	`{ decisionId, question, chosen, confidence }`
`decision.approval-required`	Human approval needed	`{ decisionId, question, options, confidence, timeout }`
`decision.auto-approved`	Auto-approved by confidence	`{ decisionId, confidence, threshold }`
`code.preview`	Live code update	`{ file, content, cursor, diff }`
`replay.event`	Replay playback event	`{ ...originalEvent, isReplay, replayIndex }`

Inbound (Angular → Backend)

Event	Description	Payload
`pause.task`	Request task pause	-
`resume.task`	Request task resume	-
`cancel.task`	Request task cancel	-
`approve.decision`	Approve pending decision	`{ decisionId, choice }`
`reject.decision`	Reject pending decision	`{ decisionId, reason }`
`provide.guidance`	Send guidance to agent	`{ decisionId, guidance }`
`recording.start`	Start recording session	-
`recording.stop`	Stop recording	-
`recording.replay`	Replay recorded events	`{ events, speed }`
`get.state`	Request current state	-

🎨 UI Components

CommandCenterComponent

Main dashboard component with all panels:

// libs/libs-ai/gograb-ai/src/lib/components/command-center/command-center.component.ts

@Component({
  selector: 'lib-command-center',
  standalone: true,
  imports: [CommonModule, FormsModule],
})
export class CommandCenterComponent {
  // State signals
  readonly isConnected = signal(false);
  readonly isPaused = signal(false);
  readonly activeTask = signal<TaskState | null>(null);
  readonly activeAgents = signal<AgentState[]>([]);
  readonly recentDecisions = signal<DecisionEvent[]>([]);
  readonly codePreview = signal<CodePreview | null>(null);
  readonly pendingApprovals = signal<ApprovalRequest[]>([]);
  readonly isRecording = signal(false);
  readonly recordedEvents = signal<RecordedEvent[]>([]);
}

🔮 Future Roadmap

See COMMAND-CENTER-FUTURE.md for:

Phase 6: Voice Control 🎤
Phase 7: AI-to-AI Communication Visualization
Phase 8: Predictive Task Estimation
Phase 9: Collaborative Mode (multi-developer)
Phase 10: Mobile Companion App