A recent study from Harvard, analyzing data from nearly 700,000 workers across 718 firms, reveals that while AI coding assistants and agents increase code generation by 12% and 30% respectively, overall software output remains flat. This is because the increased code volume creates a bottleneck in the code review process, with review times increasing significantly and more changes requiring human intervention. The findings highlight the need for organizations to shift their focus from simply measuring code output to evaluating the entire software development pipeline to realize the full potential of AI tools.
Read the full article at DEV Community
Want to create content about this topic? Use Nemati AI tools to generate articles, social posts, and more.
