The A.I. Daily
Study: AI coding agents generate more code, not more software
A Harvard study using Jellyfish analytics spanning over 700,000 employees and 300 million work events finds AI coding efficiency gains are absorbed by code-review bottlenecks. Firms saw little evidence of higher software output or lower employment, with longer reviews and more revised pull requests.