AI coding tools show +56% to -19% productivity in studies. METR's RCT reveals a 39-point perception gap. Here's what the data actually shows.
The post AI Dev Productivity Studies: The -19% to +56% Gap Explained appeared first on byteiota .
Studies of AI coding tools report productivity effects ranging from +56% to -19%, and METR's randomized controlled trial found a 39-point gap between developers' perceived productivity gains and measured outcomes, according to byteiota. The spread indicates that measured developer productivity from AI coding tools varies widely across studies and diverges from how developers perceive their own gains.
AI coding tools show +56% to -19% productivity in studies. METR's RCT reveals a 39-point perception gap. Here's what the data actually shows.
The post AI Dev Productivity Studies: The -19% to +56% Gap Explained appeared first on byteiota .
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