AI coding agents generate more code but not more software, study finds

A study by Harvard researchers Fiona Chen and James Stratton, using Jellyfish engineering data from over 700 software firms, finds little evidence that AI coding tools increase software output or reduce employment.

The authors report that efficiency gained during coding is absorbed by downstream constraints, mainly longer code review, more pull request revisions, and more reviewer comments.