Getting Started with DartinBot

Welcome to DartinBot, the revolutionary AI collaboration platform that transforms how developers work with AI agents. This comprehensive guide will get you up and running in minutes.

What is DartinBot?

DartinBot is a comprehensive platform that enables:

• Intelligent Copilot Instructions - Generate context-aware instructions for any AI coding assistant
• Multi-AI Collaboration - Seamless handoffs between different AI agents (GitHub Copilot, Claude, GPT-4, etc.)
• Reception Desk Protocol - Automatic AI agent registration and context preservation
• XML Tag System - Structured protocols for enhanced AI understanding
• Workflow Automation - Streamlined development processes with AI assistance

Core Concepts

Reception Desk System

Every DartinBot project includes a reception desk system that automatically manages AI agent visits, tracks collaboration history, and maintains context across different AI interactions.

Copilot Instructions

Dynamically generated instruction files that provide AI agents with project-specific context, coding standards, and collaboration protocols.

XML Tag Protocols

Structured markup system that gives AI agents human-like awareness of project structure, team roles, and collaboration patterns.

Quick Start Tutorial

Installation & Setup

Get DartinBot installed and configured in your development environment with this comprehensive setup guide.

Prerequisites

Quick Installation

Manual Setup

For advanced users who want to set up DartinBot manually:

# Create project directory
mkdir my-dartinbot-project
cd my-dartinbot-project

# Initialize git repository
git init

# Create DartinBot configuration
mkdir .github
touch .github/copilot-instructions.md
touch .github/collaborations.json

# Initialize project structure
mkdir src docs tests
touch README.md

Basic File Structure

your-project/
├── .github/
│   ├── copilot-instructions.md    # Main instruction file
│   ├── collaborations.json        # AI collaboration log  
│   └── workflows/                 # CI/CD workflows
├── src/                           # Source code
├── docs/                          # Documentation
├── tests/                         # Test files
├── .gitignore                     # Git ignore rules
└── README.md                      # Project overview

VS Code Extensions Setup

Install these essential extensions for the optimal DartinBot experience:

# Install via VS Code marketplace or command line
code --install-extension GitHub.copilot
code --install-extension eamodio.gitlens  
code --install-extension MS-vsliveshare.vsliveshare
code --install-extension esbenp.prettier-vscode

VS Code Integration Guide

Maximize your productivity with DartinBot's deep VS Code integration. This guide covers setup, configuration, and advanced features.

Required Extensions

Install these essential extensions for the best DartinBot experience:

VS Code Settings Configuration

Configure your VS Code settings for optimal DartinBot performance:

{
  "github.copilot.enable": {
    "*": true,
    "yaml": false,
    "plaintext": false
  },
  "github.copilot.advanced": {
    "secret_key": "github-copilot-key",
    "length": 500,
    "temperature": 0.1
  },
  "editor.inlineSuggest.enabled": true,
  "editor.suggestSelection": "first",
  "files.associations": {
    "copilot-instructions.md": "markdown"
  },
  "dartinbot.enabled": true,
  "dartinbot.receptionDesk.autoRegister": true,
  "dartinbot.collaboration.trackChanges": true
}

Workspace Configuration

Create a .vscode/settings.json file for project-specific settings:

{
  "dartinbot.enabled": true,
  "dartinbot.receptionDesk.autoRegister": true,
  "dartinbot.collaboration.trackChanges": true,
  "dartinbot.xmlTags.validation": true,
  "files.exclude": {
    "**/node_modules": true,
    "**/.git": true,
    "**/.DS_Store": true
  },
  "search.exclude": {
    "**/node_modules": true,
    "**/bower_components": true
  }
}

Essential Keyboard Shortcuts

Master these keyboard shortcuts for DartinBot workflows:

Advanced Configuration

Workspace Files

Create a .code-workspace file for multi-folder projects:

{
  "folders": [
    {
      "name": "Frontend",
      "path": "./frontend"
    },
    {
      "name": "Backend", 
      "path": "./backend"
    }
  ],
  "settings": {
    "dartinbot.multiFolder.enabled": true,
    "dartinbot.crossFolder.collaboration": true
  },
  "extensions": {
    "recommendations": [
      "GitHub.copilot",
      "eamodio.gitlens",
      "MS-vsliveshare.vsliveshare"
    ]
  }
}

AI Collaboration Protocols

Learn how DartinBot enables seamless collaboration between different AI agents, creating a unified development experience.

Reception Desk System

The reception desk system is DartinBot's core innovation for managing AI agent interactions. It tracks visits, maintains context, and enables seamless handoffs.

<dartinbot-agent-encounter>
  <reception-desk>
    <instructions>
      Welcome, AI Agent! Please sign in below before reading or modifying this file.
      - Record your agent name, model, and timestamp in the agent-visits log.
      - Increment the agent-visits counter by 1.
      - Log your visit and any collaboration in .github/collaborations.json
    </instructions>
    <agent-visits>42</agent-visits>
    <visit-log>
      {"agent": "GitHub Copilot", "model": "gpt-4", "timestamp": "2025-01-13T15:30:00Z"}
      {"agent": "Claude", "model": "claude-3", "timestamp": "2025-01-13T16:45:00Z"}
    </visit-log>
  </reception-desk>
</dartinbot-agent-encounter>

Multi-Agent Workflows

DartinBot supports seamless handoffs between different AI agents, each optimized for specific tasks:

Collaboration Protocols

Context Preservation

DartinBot ensures context is preserved across AI agent handoffs through structured protocols:

# Collaboration JSON Structure
{
  "session_id": "uuid-v4",
  "agents": [
    {
      "name": "GitHub Copilot",
      "role": "primary_assistant",
      "context_start": "2025-01-13T15:30:00Z",
      "context_end": "2025-01-13T16:30:00Z",
      "tasks_completed": ["code_completion", "refactoring"],
      "handoff_notes": "Completed user authentication module"
    }
  ],
  "shared_context": {
    "project_state": "active_development",
    "current_focus": "authentication_system",
    "pending_tasks": ["testing", "documentation"]
  }
}

XML Tag System

DartinBot uses structured XML tags to provide AI agents with enhanced understanding:

<dartinbot-project-context>
  <project-info>
    <name>E-commerce Platform</name>
    <type>full-stack-web-application</type>
    <stage>development</stage>
  </project-info>
  
  <tech-stack>
    <frontend framework="react" version="18" language="typescript"/>
    <backend framework="express" version="4" language="node"/>
    <database type="postgresql" version="14"/>
    <deployment platform="docker" orchestration="kubernetes"/>
  </tech-stack>
  
  <team-structure>
    <team name="frontend" lead="alice" size="3"/>
    <team name="backend" lead="bob" size="2"/>
    <team name="devops" lead="charlie" size="1"/>
  </team-structure>
</dartinbot-project-context>

Advanced Collaboration Features

Cross-Agent Communication

AI agents can leave messages for each other through the collaboration system:

Workflow Automation

DartinBot can automate common workflows between AI agents:

• Code → Review → Test: Automatic handoffs from coding to review to testing
• Bug Report → Analysis → Fix: Structured bug resolution workflows
• Feature Request → Design → Implementation: End-to-end feature development
• Performance Issue → Profiling → Optimization: Performance improvement workflows

API Reference

Complete API documentation for programmatic access to DartinBot Platform capabilities.

Base URL & Authentication

# Base URL
https://www.dartinbot.com/api/v1

# Authentication
Authorization: Bearer YOUR_API_KEY
Content-Type: application/json

Generator API

POST /api/generate

Generate customized copilot instructions based on project parameters.

curl -X POST https://www.dartinbot.com/api/generate 
  -H "Content-Type: application/json" 
  -H "Authorization: Bearer YOUR_API_KEY" 
  -d '{
    "project_name": "E-commerce Platform",
    "template": "full-stack",
    "tech_stack": {
      "frontend": "react-typescript",
      "backend": "node-express",
      "database": "postgresql"
    },
    "team_size": "medium",
    "requirements": [
      "authentication",
      "payment_processing", 
      "real_time_notifications"
    ],
    "ai_agents": ["github-copilot", "claude", "gpt-4"]
  }'

Response

{
  "success": true,
  "generation_id": "gen_abc123",
  "files": {
    "copilot_instructions": "...",
    "collaborations_config": "...",
    "readme_template": "..."
  },
  "metadata": {
    "template_used": "full-stack",
    "generation_time": "2025-01-13T15:30:00Z",
    "estimated_setup_time": "5 minutes"
  }
}

Analytics API

GET /api/analytics

Retrieve platform usage and performance analytics.

curl -X GET "https://www.dartinbot.com/api/analytics?timeframe=7d&metrics=usage,performance" 
  -H "Authorization: Bearer YOUR_API_KEY"

Query Parameters

Project Management API

POST /api/projects

Create and manage DartinBot projects programmatically.

curl -X POST https://www.dartinbot.com/api/projects 
  -H "Content-Type: application/json" 
  -H "Authorization: Bearer YOUR_API_KEY" 
  -d '{
    "name": "Mobile App Project",
    "description": "React Native mobile application",
    "repository_url": "https://github.com/company/mobile-app",
    "settings": {
      "auto_deploy": true,
      "collaboration_mode": "multi-agent",
      "notification_preferences": ["email", "slack"]
    }
  }'

Error Handling

All API endpoints use standard HTTP status codes and return detailed error information:

{
  "error": {
    "code": "INVALID_REQUEST",
    "message": "Missing required field: project_name",
    "details": {
      "field": "project_name",
      "expected_type": "string",
      "provided": null
    },
    "request_id": "req_xyz789"
  }
}

Status Codes

• 200: Success
• 400: Bad Request - Invalid parameters
• 401: Unauthorized - Invalid API key
• 403: Forbidden - Insufficient permissions
• 429: Too Many Requests - Rate limit exceeded
• 500: Internal Server Error

Best Practices

Learn from the Phoenix team's expertise to get the most out of DartinBot's AI collaboration platform.

Project Setup Best Practices

AI Collaboration Guidelines

Reception Desk Protocol

Performance Optimization

Instruction File Size

Keep copilot-instructions.md files under 100KB for optimal performance:

# Check file size
ls -lh .github/copilot-instructions.md

# Optimize content
- Use concise language
- Avoid repetitive information  
- Link to external documentation when needed
- Compress XML tags efficiently

Context Management

Effective context management improves AI agent performance:

• Modular Instructions: Break complex instructions into focused sections
• Clear Hierarchies: Use proper heading structure (H1, H2, H3)
• Contextual Examples: Include relevant code examples for your stack
• Regular Updates: Keep instructions current with project evolution

Security Best Practices

Sensitive Information

Access Control

Implement proper access control for your DartinBot projects:

# .github/copilot-instructions.md access control
<dartinbot-security>
  <access-level>team-internal</access-level>
  <classification>confidential</classification>
  <approved-agents>github-copilot,claude</approved-agents>
</dartinbot-security>

Troubleshooting Tips

Common Issues

Troubleshooting Guide

Comprehensive troubleshooting guide for common DartinBot Platform issues and their solutions.

Installation Issues

# Check file location
ls -la .github/copilot-instructions.md

# Verify file encoding
file .github/copilot-instructions.md

# Check file size
ls -lh .github/copilot-instructions.md

# Restart VS Code
code --reload-window

# Validate XML structure
xmllint --noout .github/copilot-instructions.md

# Check required tags
grep -n "dartinbot-agent-encounter" .github/copilot-instructions.md
grep -n "reception-desk" .github/copilot-instructions.md
grep -n "agent-visits" .github/copilot-instructions.md

Generator Issues

Performance Issues

Slow VS Code Performance

# Disable unnecessary extensions temporarily
code --disable-extensions

# Clear VS Code cache
rm -rf ~/.vscode/extensions/ms-vscode.vscode-copilot-*
code --install-extension GitHub.copilot

# Check system resources
top -p $(pgrep -f "code")
df -h  # Check disk space

High Memory Usage

If DartinBot is causing high memory usage:

• Reduce the size of copilot-instructions.md file
• Split large projects into multiple workspace folders
• Close unnecessary VS Code windows
• Restart VS Code periodically

Collaboration Issues

# Create collaboration log if missing
touch .github/collaborations.json
echo '{"sessions": [], "agents": []}' > .github/collaborations.json

# Validate JSON syntax
python -m json.tool .github/collaborations.json

API Issues

Authentication Problems

# Test API authentication
curl -H "Authorization: Bearer YOUR_API_KEY" 
     https://www.dartinbot.com/api/health

# Expected response
{"status": "ok", "authenticated": true}

Rate Limiting

If you're hitting rate limits:

• Implement exponential backoff in your requests
• Cache responses when possible
• Contact support for higher rate limits
• Use batch operations when available

Getting Help

Diagnostic Information

When reporting issues, please include:

# System information
OS: $(uname -a)
VS Code Version: $(code --version)
Node.js Version: $(node --version)
Git Version: $(git --version)

# DartinBot information
File location: .github/copilot-instructions.md
File size: $(ls -lh .github/copilot-instructions.md)
Reception desk status: $(grep -c "agent-visits" .github/copilot-instructions.md)

# Recent errors
VS Code logs: Help → Toggle Developer Tools → Console
Network issues: Browser Developer Tools → Network tab

Generator Guide

The DartinBot Generator creates enterprise-grade copilot instructions using advanced AI.

Enhanced Features

• Smart Detection: Auto-detects project type and requirements
• XML Tagging: Advanced dartinbot-specific XML framework
• Enterprise Integration: Scalable team collaboration and workflows
• Quality Scoring: Real-time quality assessment and suggestions
• Export Options: Multiple format support with version control

{
  "project_type": "frontend",
  "department": "engineering",
  "framework": "react",
  "features": ["ui-components", "accessibility", "performance"]
}

API Reference

Complete API documentation for integrating with DartinBot Platform.

Core Endpoints

Analytics Integration

Advanced analytics and data processing for enhanced insights and performance monitoring.

Features

• Real-time data synchronization
• Advanced analytics processing
• Cross-department collaboration metrics
• Performance optimization insights

# Analytics Integration
GET /analytics/dashboard

Response:
{
  "department_performance": {
    "engineering": {"score": 95, "trends": "increasing"},
    "analytics": {"score": 92, "trends": "stable"},
    "operations": {"score": 88, "trends": "improving"}
  },
  "platform_metrics": {
    "uptime": "99.9%",
    "response_time": "1.2s",
    "user_satisfaction": 4.8
  }
}

Security

Enterprise-grade security with comprehensive compliance frameworks.

Security Features

• SSL/TLS: End-to-end encryption with Let's Encrypt
• Authentication: Multi-factor authentication support
• Authorization: Role-based access control
• Compliance: SOC2, HIPAA, GDPR ready
• Monitoring: Real-time security threat detection

Troubleshooting

Common issues and their solutions for DartinBot Platform.

Generator Issues

Performance Issues

Contact Support

For additional help, contact the Phoenix team at phoenix@dartinbot.com