Add Context Optimization and Caching System

[heysamtexas]

Description

Optimize context gathering for performance and cost with intelligent caching and summarization.

ASSESSMENT: This is likely premature optimization. The current AI system works well and should be optimized only after:

1. User reports of performance/cost issues
2. Comprehensive testing is complete (Critical: Comprehensive Tests for Automation Detection & Analysis Components #33, Integration Tests for Adaptive Analysis Pipeline #34)
3. Core functionality is fully documented (Comprehensive AI Features Documentation for All Audiences #23)

Priority: LOW (Deferred)

Estimate: 1 day

Phase: Future Enhancement

Current Status

The AI system performs adequately for typical use cases. This optimization should be revisited if:

• Users report slow response times
• Token costs become prohibitive
• Large-scale usage reveals bottlenecks

Acceptance Criteria

• Context caching for repeated requests
• Token usage optimization algorithms
• Context summarization for large datasets
• Performance metrics and logging
• Smart context pruning strategies

Dependencies

• Issue Implement Advanced Context Features for Code Analysis #21 (Advanced Context Features)
• Evidence of performance problems