VK Bot: Rubber duck bot for debugging assistance

[konard]

🦆 Rubber Duck Debugging Bot

This PR implements a rubber duck debugging assistant bot as requested in issue #142.

📋 Issue Reference

Fixes #142

✨ Features Implemented

🔍 Trigger Detection

• Responds to GitHub issues with titles containing trigger words:
  • English: help, help me, sos
  • Russian: помощь, помогите, помогите мне, спасите

💬 Interactive Dialog System

• Opens debugging session with bilingual question: "Do you have problem with code? / У вас проблема с кодом?"
• Continues dialog when user responds with yes or да in issue title
• Provides structured debugging guidance following rubber duck methodology

🛠️ Problem-Solving Framework

• Step-by-step debugging process
• Encourages explaining the problem in detail
• Guides through common debugging techniques:
  • Problem description and error analysis
  • Code review and recent changes analysis
  • Assumption checking and line-by-line tracing
  • Testing with simpler inputs
  • Documentation and example lookup

🏗️ Implementation Details

New Components:

• RubberDuckTrigger.cs - Detects help requests and initiates debugging session
• RubberDuckDialogTrigger.cs - Handles "yes" responses and provides debugging guidance
• Integrated both triggers into Program.cs issue tracker

Architecture:

• Follows existing trigger pattern using ITrigger<Issue> interface
• Uses GitHub issue comments for interactive dialog
• Bilingual support (English/Russian)
• Emoji-enhanced user experience

🧪 Testing

• ✅ Solution builds successfully with .NET 8
• ✅ Triggers properly integrated into bot architecture
• ✅ No breaking changes to existing functionality

📱 Usage Example

1. Create GitHub issue with title: help or помощь
2. Bot responds asking if you have a code problem
3. Create new issue with title: yes or да
4. Bot provides comprehensive debugging guidance

🎯 Benefits

• Interactive: Engages users in structured problem-solving dialog
• Educational: Teaches debugging methodology
• Therapeutic: Often explaining the problem helps users find solutions themselves
• Accessible: Supports both English and Russian languages
• Scalable: Works within existing GitHub bot infrastructure

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