A new study analyzing data from hundreds of firms reveals that AI coding tools, while generating substantial amounts of code, aren't yet translating to increased software output or reduced employment. The efficiency gains from AI coding assistants are largely offset by a significant increase in code review time and revisions, creating a bottleneck in the software development process. This suggests that organizations should focus on optimizing the review workflow to fully realize the potential benefits of these tools.
Read the full article at Ars Technica
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