Summary

Implement an AI-powered investigation system that automatically analyzes Application Insights problems, generates dynamic investigation plans, and provides root cause analysis with actionable recommendations.

Problem

Currently, users need deep KQL expertise and manual analysis to investigate Application Insights issues. This is time-consuming and requires significant domain knowledge.

Proposed Solution

Create an Intelligent Investigation Service that:

• 🗣️ Natural Language Input: Describe problems in plain English
• 🧠 AI Analysis: Automatic problem classification and investigation planning
• 🔍 Dynamic Investigation: Multi-phase adaptive query execution
• 🎯 Root Cause Analysis: Evidence-based cause identification with confidence scores
• 💡 Actionable Recommendations: Specific solutions and prevention strategies

Example Usage

# Describe problem naturally
appinsights-detective investigate --problem "Application is responding slowly"

# Interactive guided investigation
appinsights-detective investigate --interactive

# Resume existing investigation
appinsights-detective investigate --continue inv_abc123

Implementation Phases

Phase 1: Core Service ⭐

• IntelligentInvestigationService - Main orchestration engine
• AI prompt templates for different problem types
• Investigation context management
• Integration with existing AI providers

Phase 2: CLI Integration

• New investigate command with interactive mode
• Investigation history and resume functionality
• Progress tracking and result visualization

Phase 3: Testing & Validation

• Comprehensive unit and integration tests
• End-to-end CLI testing
• Performance and reliability validation

Phase 4: Web UI Integration (Future)

• Interactive investigation interface
• Real-time progress visualization
• Team collaboration features

Investigation Types Supported

Benefits

For Users:

• ⏱️ Reduce investigation time from hours to minutes
• 🎓 Lower barrier to entry (no deep KQL expertise needed)
• 🔍 Comprehensive systematic analysis
• 📋 Clear actionable insights

For Teams:

• 📚 Knowledge sharing and consistency
• 🎯 Focus on solutions rather than diagnosis
• 📊 Investigation effectiveness tracking

Technical Requirements

• Azure OpenAI/OpenAI API access
• Existing Application Insights data providers
• TypeScript for type safety
• Commander.js for CLI framework

Success Criteria

• Users can describe problems in natural language
• System generates appropriate investigation plans automatically
• Provides root cause analysis with confidence scores
• Offers actionable recommendations
• Works end-to-end with real Application Insights data
• Investigation completes within 5 minutes for typical problems
• 95%+ test coverage for core logic

Future Enhancements

• 🤖 Machine learning integration for anomaly detection
• 📈 Predictive analysis for problem prevention
• 👥 Team collaboration and knowledge base features
• 🔔 Integration with Slack/Teams/ServiceNow

This feature transforms AppInsights Detective from a query tool into an intelligent problem-solving platform, making Application Insights analysis accessible to users of all skill levels.