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ADR-002: AI Integration and Advanced Prompting Strategy

Status​

Accepted

Context​

The MCP ADR Analysis Server integrates advanced AI capabilities for architectural analysis, including Knowledge Generation, Reflexion learning, and Automatic Prompt Engineering (APE). The system needs to provide high-quality analysis with confidence scoring, evidence-based recommendations, and systematic verification processes. The choice of AI integration approach affects analysis quality, response time, system complexity, and reliability.

Decision​

We will implement a hybrid AI integration approach using advanced prompting techniques (Knowledge Generation + Reflexion + APE) with external AI services, combined with local caching and methodological pragmatism framework for systematic verification and confidence scoring.

Key components:

  • Knowledge Generation: Domain-specific architectural knowledge enhancement
  • Reflexion Learning: Learning from past analysis outcomes and experiences
  • Automatic Prompt Engineering: Optimized prompt generation for better results
  • Confidence Scoring: Systematic confidence assessment for all recommendations
  • Evidence-Based Analysis: All recommendations backed by concrete evidence
  • Methodological Pragmatism: Explicit fallibilism and systematic verification

Consequences​

Positive:

  • Enhanced analysis quality with confidence scoring and evidence backing
  • Systematic verification processes reduce false positives
  • Learning from past experiences improves future analysis
  • Methodological pragmatism provides structured approach to uncertainty
  • Advanced prompting techniques improve AI response quality
  • Local caching reduces latency and external service dependency

Negative:

  • Increased complexity in prompt management and AI workflow orchestration
  • Dependency on external AI services for advanced analysis
  • Potential latency in analysis due to multi-step AI processing
  • Need for sophisticated error handling and fallback mechanisms
  • Higher computational costs due to advanced prompting techniques
  • Complexity in managing confidence scoring and evidence validation