AI Coding Agents Write 30% More Code – and Resolve Zero Additional Issues, Harvard Study Finds
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Enterprise technology leaders are currently caught in a measurement trap. When evaluating the impact of AI coding agents, the industry has largely focused on the volume of code produced. It is an easy metric to track, but it is increasingly clear that it is the wrong one. By prioritizing output speed, firms are ignoring the reality of how software actually moves from an idea to a finished product. A new Harvard working paper , Artificial Intelligence in the Firm: Bottlenecks in Software Production , provides the first large-scale empirical evidence that this focus on volume is masking a significant operational…
Source: Forkast
