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@vibe-kit/dashboard

v0.0.11

Published

Analytics dashboard for VibeKit CLI middleware

Readme

@vibe-kit/dashboard

A real-time analytics dashboard for monitoring AI-assisted coding sessions with Vibekit CLI. This is a standalone npm package that provides a Next.js-based dashboard.

Overview

The Vibekit dashboard provides comprehensive insights into your coding sessions, command execution, and agent interactions. Built with Next.js and TypeScript, it offers a modern, responsive interface for tracking productivity and analyzing coding patterns.

Features

  • 📊 Real-time Analytics - Live tracking of coding sessions and agent activity
  • 🔍 Command History - Detailed logs of all executed commands and their outcomes
  • Performance Metrics - Response times, success rates, and efficiency analytics
  • 🎯 Project Insights - File modification patterns and project activity
  • 📈 Session Tracking - Duration, productivity metrics, and workflow analysis
  • 🌐 Modern UI - Clean, responsive interface built with Tailwind CSS

Installation

npm install @vibe-kit/dashboard

Getting Started

Via VibeKit CLI (Recommended)

The dashboard is automatically managed by the Vibekit CLI:

# Start dashboard from CLI (installs package automatically)
vibekit dashboard

# Check dashboard status
vibekit dashboard status

Direct Usage

const DashboardServer = require('@vibe-kit/dashboard');

const server = new DashboardServer({
  port: 3001,
  hostname: 'localhost'
});

await server.start();

CLI Command

vibe-kit-dashboard --port 3001

Development

For development purposes:

npm install
npm run dev

The dashboard will be available at http://localhost:3001.

Architecture

dashboard/
├── app/                    # Next.js App Router
│   ├── api/               # API routes for analytics data
│   │   └── analytics/     # Analytics endpoints
│   ├── globals.css        # Global styles
│   ├── layout.tsx         # Root layout
│   └── page.tsx          # Main dashboard page
├── components/            # React components
│   ├── ui/               # Reusable UI components
│   └── metric-card.tsx   # Analytics display components
├── lib/                   # Utilities and types
│   ├── analytics.ts      # Analytics data processing
│   ├── types.ts          # TypeScript type definitions
│   └── utils.ts          # Utility functions
├── manager.ts            # Dashboard server management
├── server.ts             # Dashboard server implementation
└── package.json          # Dependencies and scripts

API Endpoints

Analytics Data

  • GET /api/analytics - Current session analytics
  • GET /api/analytics/summary - Session summary and metrics

Data Format

The dashboard expects analytics data in the following format:

interface SessionAnalytics {
  sessionId: string;
  startTime: Date;
  duration: number;
  commandsExecuted: number;
  filesModified: string[];
  agentType: string;
  performance: {
    averageResponseTime: number;
    successRate: number;
  };
}

Configuration

The dashboard server can be configured through the Vibekit CLI configuration:

{
  "dashboard": {
    "port": 3001,
    "autoStart": false,
    "analytics": {
      "enabled": true,
      "retention": 30
    }
  }
}

Development

Tech Stack

  • Framework: Next.js 15 with App Router
  • Language: TypeScript
  • Styling: Tailwind CSS
  • UI Components: Custom components with shadcn/ui
  • Charts: Recharts for data visualization

Scripts

  • npm run dev - Start development server
  • npm run build - Build for production
  • npm run start - Start production server
  • npm run lint - Run ESLint
  • npm run type-check - Run TypeScript checks

Adding New Metrics

  1. Update the analytics types in lib/types.ts
  2. Modify the API endpoints in app/api/analytics/
  3. Add new components in components/
  4. Update the main dashboard page in app/page.tsx

Integration

The dashboard automatically integrates with:

  • Vibekit CLI logging system
  • Agent command execution tracking
  • File system change monitoring
  • Session management

All data is collected passively during normal CLI usage and displayed in real-time.