Pattern Proposal: Agentic Merge Resolution Loop

Summary

Resolves multi-source architectural documentation and configuration conflicts using combined heuristic and LLM logic.

Candidate Pattern

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

Observed Signals

No specific signals listed.

Evidence

Supporting Evidence

• src/cas_runner/governance/agentic_merger.py (AgenticMerger) - Performs AI-assisted merge resolutions
• src/cas_runner/governance/models.py (ResolutionResult) - Captures merge result outcome

Scope Assessment

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

Rationale

• Intent: Resolve non-trivial architectural document and code delta conflicts without human intervention where possible.
• Context: Executing multi-project governance merges and synchronising managed steering repositories.
• Force: Pure 3-way text diff algorithms fail on semantic Markdown or YAML changes
• Force: Unconstrained LLM merges can silently delete required governance constraints

Traceability

Artifact source: proposed-patterns