From Code to Content: How Software Engineers Can Build a Self-Evolving AI Content Creation System

From Code to Content: How Programmers Can Build a “Self-Evolving” AI Creation System Abstract This article provides programmers with a systematic framework for AI-powered content creation. It argues that the core challenge for programmers in content creation is a tooling problem, not a capability deficit. The piece details the three-stage evolution of content creation from the “Prompt Era” to the “Methodology Era” and finally to the “Self-Evolution Era.” The core solution is for programmers to leverage their systems thinking: encapsulate proven content methodologies into executable Skills, and establish a feedback and data闭环 (closed-loop) system akin to RLHF (Reinforcement Learning from …