AI's role in developer productivity is contested. A GitLab-Harris Poll indicates C-level executives believe AI saves $28,249 per developer yearly, with a 48% productivity increase. In contrast, a controlled METR study showed that seasoned developers were slowed down by 19% when using AI tools despite feeling faster. Personal accounts from DevOps professionals reveal significant differences; some find AI tools essential for tasks like code scaffolding, while others encounter distractions. The varying perceptions highlight a disconnect between executive outlooks on aggregated ROI and developers' hands-on experiences with complex coding tasks.
A recent GitLab-Harris Poll survey reveals that C-level executives believe their organizations save about $28,249 per developer per year thanks to AI, citing a 48% boost in productivity.
In a rigorously controlled study by METR, 16 seasoned open-source devs found that using AI tools slowed them down by 19%, even though they believed they'd become 20% faster.
Anecdotes from DevOps professionals show a split; while some find AI indispensable for code scaffolding and test generation, others experience distractions and buggy outputs.
C-level executives focus on aggregate ROI, which contrasts sharply with veteran developers who perceive AI tools as hindrances in managing complex, familiar code.
Collection
[
|
...
]