Study: AI coding lifted code volume 30%, software output flat
AI summary
Harvard scholars Fiona Chen and James Stratton analyzed Jellyfish's aggregated engineering-team data, covering more than 700 software companies, records for over 700,000 employees and 300 million individual work events such as commits and pull requests. They found that AI-assisted coding raised code volume by roughly 30%, but the amount of software companies actually produced did not increase correspondingly. The researchers point to human code review as the bottleneck.
In-depth insight
If more code does not translate into more shipped software, companies need to reassess the real return on AI coding tools and focus improvements on human review steps.