Fiona Chen

Headlines · 2

1. 4d
   Study: AI coding lifted code volume 30%, software output flat

   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.

   开源中国 · 🔥 0
2. Oct 9
   Study: AI coding agents write more code, but firms don't ship more software

   Harvard researchers Fiona Chen and James Stratton analyzed aggregated Jellyfish engineering analytics covering roughly 300 million work events (such as commits and pull requests) across more than 700,000 employees at over 700 software development firms from 2021 through March 2026. They found that while AI coding tools speed up code generation, that gain is absorbed by downstream constraints: code review takes significantly longer, pull requests are more likely to need revisions, and reviewers leave more comments. The authors report little evidence that firms increase software output or reduce employment by using these tools.

   Ars Technica AI · 🔥 0

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