Study of 100,000 Developers Finds AI Boosts Productivity 20%

Cited in AI-coding debates as one of the largest data-driven studies, notably for finding no correlation between self-assessed and measured productivity.

Yegor Denisov-Blanch of Stanford presents a study of nearly 100,000 developers at hundreds of companies, measuring how AI affects productivity from commit data. It finds an average boost of about 20% with wide variance by codebase, task complexity and stack.