A 16-month study of over 400 engineering organizations found that AI adoption has reached 65%, leading to an 8% increase in pull request throughput. The research indicates that AI's impact is limited if confined solely to coding tasks, which constitute only about 14% of an engineer's week. Significant gains are realized when AI is applied beyond coding to areas like discovery, planning, and validation, encompassing the remaining 86% of an engineer's work. AI
Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →
IMPACT AI adoption in engineering is expanding beyond coding to other critical functions, suggesting a broader impact on productivity.
RANK_REASON The cluster reports on findings from a study of AI adoption in engineering organizations. [lever_c_demoted from research: ic=1 ai=0.7]