How to Deploy AI Code Review: Lessons from 30 Days in Production

This experiment reveals the stark gap between AI automation's potential and its practical limitations in production environments. The author discovered that language models require careful guardrails and domain-specific validation to avoid generating false positives that waste developer time. The findings highlight why AI-assisted workflows demand thoughtful prompt engineering and structural constraints, not just raw model capability.