"Enormous token budgets have become a badge of honor among Silicon Valley developers, but measuring an input to the process makes little sense when you presumably care more about the output."
"Engineering managers are seeing code acceptance rates of 80% to 90%, but they're missing the churn that happens when engineers have to revise that code in the following weeks."
"The rise of AI coding tools led Waydev to totally rework its platform in the last six months to better track the dynamics of productivity."
The rise of AI coding agents has complicated productivity measurement for software engineers. While developers using AI tools generate more accepted code, they also face increased revisions, reducing actual productivity. Companies in the developer productivity insight space reveal that high code acceptance rates mask significant churn due to necessary revisions. Waydev, a firm tracking these dynamics, indicates that real-world acceptance rates of AI-generated code can drop to between 10% and 30%. This shift has prompted a rework of their analytics platform to better reflect these changes.
Read at TechCrunch
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