AI Coding Agents: Neural Networks at Buildtime, Traditional Software at Runtime

Summary

The article discusses the evolution of AI coding agents and their impact on software development. It argues that while neural networks are powerful at buildtime for generating code, robust AI-native software systems should avoid neural networks at runtime. Instead, these systems use traditional software execution at runtime, with code serving as the learned policy. The piece explores how AI coding agents can dramatically accelerate development timelines and create software systems that inherit characteristics from the neural networks that generated them.