Fiona Chen
A Harvard University economist studying the impact of AI coding tools on enterprise productivity.
Timeline (last 90 days)
A Harvard study tracked 718 companies and 300 million events and found that coding agents increased lines of code by 30%, commits by 20%, and PRs by 23%, but the JIRA issue resolution rate showed no statistically significant improvement.
The Harvard study found that after agents were introduced, review wait times rose 49% and PRs requiring rework doubled; 80% of companies used AI review tools, but three-quarters of comments were still written by humans.
Harvard researchers Fiona Chen and James Stratton led a study based on Jellyfish data that tracked changes in engineering efficiency over 12 months after enterprises adopted AI coding agents.
Harvard economists Fiona Chen and James Stratton published a working paper using Jellyfish platform data to track the work patterns of 718 companies and more than 700,000 engineers.
All Facts (4)
A Harvard study tracked 718 companies and 300 million events and found that coding agents increased lines of code by 30%, commits by 20%, and PRs by 23%, but the JIRA issue resolution rate showed no statistically significant improvement.
50%UnverifiedThe Harvard study found that after agents were introduced, review wait times rose 49% and PRs requiring rework doubled; 80% of companies used AI review tools, but three-quarters of comments were still written by humans.
50%UnverifiedHarvard researchers Fiona Chen and James Stratton led a study based on Jellyfish data that tracked changes in engineering efficiency over 12 months after enterprises adopted AI coding agents.
50%UnverifiedHarvard economists Fiona Chen and James Stratton published a working paper using Jellyfish platform data to track the work patterns of 718 companies and more than 700,000 engineers.
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