Stack Overflow Data Reveals the Hidden Productivity Tax of 'Almost Right' AI Code (venturebeat.com)
(Thursday July 31, 2025 @05:20PM (msmash)
from the closer-look dept.)
Developers are growing increasingly frustrated with AI coding tools that [1]produce deceptively flawed solutions , according to Stack Overflow's [2]latest survey of over 49,000 programmers worldwide. The 2025 survey exposes a widening gap between AI adoption and satisfaction: while 84% of developers now use or plan to use AI tools, their trust has cratered.
Only 33% trust AI accuracy today, down from 43% last year. The core problem isn't broken code that developers can easily spot and discard. Instead, two-thirds report wrestling with AI solutions that appear correct but contain subtle errors requiring significant debugging time. Nearly half say fixing AI-generated code takes longer than expected, undermining the productivity gains these tools promise to deliver.
[1] https://venturebeat.com/ai/stack-overflow-data-reveals-the-hidden-productivity-tax-of-almost-right-ai-code/
[2] https://survey.stackoverflow.co/2025
Only 33% trust AI accuracy today, down from 43% last year. The core problem isn't broken code that developers can easily spot and discard. Instead, two-thirds report wrestling with AI solutions that appear correct but contain subtle errors requiring significant debugging time. Nearly half say fixing AI-generated code takes longer than expected, undermining the productivity gains these tools promise to deliver.
[1] https://venturebeat.com/ai/stack-overflow-data-reveals-the-hidden-productivity-tax-of-almost-right-ai-code/
[2] https://survey.stackoverflow.co/2025