The Rules-First PR Engine: Why Advisory AI Beats Algorithmic Gatekeeping

This article addresses a critical challenge in AI-driven development workflows: the erosion of trust when AI systems block merges based on false positives. The author proposes an 'advisory-only' architecture where deterministic rule engines make actual decisions while AI provides contextual insights, preserving human authority over code quality decisions. By positioning AI as an assistive tool rather than an enforcer, teams can maintain confidence in automated systems while leveraging their analytical power to identify genuinely risky changes.