What the Success of Coding Agents Teaches Us about AI Systems in General
Summary
The article argues that AI coding agents can generate software quickly, but production systems should separate judgment from execution. It advocates a hybrid architecture where neural networks handle judgment at buildtime or runtime while traditional software deterministically executes the code, preserving auditability and edge-case handling. It critiques current agentic frameworks, discusses Stagehand and similar tools, and outlines a path toward adaptable yet auditable systems, exemplified by Docflow Labs.