Formal Verification Gates for AI Coding Loops
Summary
This article argues that for production AI coding loops, structural backpressure via formal verification gates is more effective than incremental model improvements. It introduces Shen-Backpressure, Shen language, and shengen, and demonstrates a multi-tenant authorization example using guard types generated from specifications. The piece discusses behavioral vs. structural gates, the substrate-driven approach, the costs and limits, and the thesis that deterministic, gate-driven verification provides greater certainty than prompts alone.