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A recent study of hundreds of software firms indicates that while AI coding agents generate more code, they do not lead to an increase in overall software output or a reduction in employment.
Human code review acts as a significant bottleneck, limiting the efficiency gains provided by these automated tools.
Harvard University researchers Fiona Chen and James Stratton analyzed data from Jellyfish, a platform that tracks engineering team output.
The dataset included 300 million individual work events, such as commits and pull requests, along with issue management data.
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