When running code reviews with local LLMs, a single model can either hallucinate non-existent bugs or generate generic advice you end up ignoring. To make local AI code review more useful, I built a closed Reviewer vs. Verifier loop for local Ollama workflows. The Architecture: Two Local Agents, One Loop Instead of trusting one model's output, the workflow splits the job into two roles: Agent 1 (Reviewer): Reads the git diff or file changes. It searches specifical...