Pattern Proposal: Reconciliation Agentic Merger

Summary

Employs an LLM-assisted reconciliation component to merge diverging architectural specifications and code artifacts into a cohesive state.

Candidate Pattern

• ID: reconciliation-agentic-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) - Performs semantic reconciliation between conflicting architectural states.
• src/cas_runner/governance/models.py (ResolutionResult) - Encapsulates merge resolution outcome and metadata.

Scope Assessment

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

Rationale

• Intent: Resolve discrepancies between human-authored architectural decisions and agent-generated implementation models.
• Context: Located in src/cas_runner/governance/agentic_merger.py.
• Force: Multi-branch agent edits and parallel human modifications create structural schema conflicts
• Force: Standard git merge drivers fail on semantic JSON/YAML architectural projections

Traceability

Artifact source: proposed-patterns