Pattern Proposal: Agentic Reconciliation and Knowledge Synthesis

Summary

Employs an LLM-powered AgenticMerger to synthesize conflicting knowledge artifacts and git deltas into a coherent governance inventory.

Candidate Pattern

• ID: agentic-reconciliation-merger
• Classification: intelligence
• Maturity: strategic_direction
• Type: emerging

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/governance/agentic_merger.py (AgenticMerger) - Reconciles disparate knowledge inputs.
• src/cas_runner/governance/models.py (ResolutionResult, GovernanceInventory) - Data structures representing reconciliation outputs and stored inventory.

Scope Assessment

• Evidence Strength: high
• Confidence: high
• Applies to: ideas-to-life-cas

Rationale

• Intent: Resolve semantic divergences in architecture documentation, decision records, and pattern definitions across multiple feature branches.
• Context: Executes when synchronizing project architectural records back into cas-knowledge global stores.
• Force: Textual git merge conflicts break architectural markdown formatting
• Force: Different agents may independently add overlapping architectural rules or patterns

Traceability

Artifact source: proposed-patterns