Pattern Proposal: Agentic Semantic Merge Resolution

Summary

Uses an LLM agent to semantically reconcile conflicting architectural documentation and capability records.

Candidate Pattern

• ID: agentic-semantic-merge-resolution
• 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 governance blocks and models
• src/cas_runner/governance/models.py (ResolutionResult) - Structured output model capturing merge resolution outcomes

Scope Assessment

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

Rationale

• Intent: Resolve text-level and conceptual merge conflicts across distributed architectural decisions that standard 3-way git merges fail to handle.
• Context: Triggered when multi-project governance blocks or decision templates receive concurrent modifications.
• Force: Standard git merges fail on conceptual semantic overlaps in prose and yaml
• Force: Manual reconciliation slows down continuous delivery cycles

Traceability

Artifact source: proposed-patterns