· ai-devtools
Survey: Need for Speed Tops All Other AI Coding Metrics
A survey of 428 engineering and technology leaders published today by Uplevel, a provider of a software engineering intelligence platform, finds nearly all (96%) nearly all believe artificial intelligence (AI) is improving software development but only 4% have adopted new metrics to measure value in the AI era.
In fact, only 29% mainly evaluate the value of AI coding based on business outcomes and only 40% use controlled comparisons to isolate AI’s impact from other factors, the survey finds. Instead, speed (39%) is the most significant primary factor they consider when determining whether AI provides value to software engineering teams.
At the same time, though, 29% of respondents noted that increased time reviewing AI-generated work is now their biggest new source of friction over the past quarter. Governance, security and compliance concerns topped the list of challenges (24%), followed by gaps in engineering skills or AI literacy (21%), missing context, such as documentation, data or institutional knowledge (21%) and workflow friction (17% and infrastructure limitations (17%). Amy Carrillo Cotten, director of client transformation for Uplevel, said the survey results suggest that software engineering teams are still in the early stages of AI adoption.
