AI 코딩 보조에서 개발 파이프라인까지…오픈AI ‘심포니’의 전환 실험

The excerpt discusses metrics for measuring developer productivity, arguing that improvements should be judged by lead time to usable features, defect leakage, rework, operational stability, and developer experience rather than raw code output; it warns that reported increases (e.g., a cited 500% rise) require cautious interpretation because generation scales easily but verification, review, testing, and governance do not.