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Formal Verification Gates for AI Coding Loops

Quality: 9/10 Relevance: 9/10

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.

🚀 Service construit par Johan Denoyer