Pattern Proposal: Schema-Governed Agentic Merger

Summary

Applies an LLM-driven merger to synthesize conflicting governance documents and return typed resolution models.

Candidate Pattern

• ID: agentic-merge-resolution
• Classification: governance
• Maturity: strategic_direction
• Type: emerging

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/governance/agentic_merger.py (AgenticMerger) - Reconciliation agent execution.
• src/cas_runner/governance/models.py (ResolutionResult) - Structured contract representing outcome of agentic reconciliation.

Scope Assessment

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

Rationale

• Intent: Resolve semantically complex differences between architecture documentation and project rules that standard git three-way merges fail on.
• Context: Executing CAS governance synchronization across multiple knowledge domains and projects.
• Force: Markdown-based architecture documents (ADRs, rules) produce frequent merge conflicts under distributed editing
• Force: Blindly applying LLM text generation can corrupt document schema

Traceability

Artifact source: proposed-patterns