AI slows down open source developers. Peter Naur can teach us why
SMRTR summary
A Metr study shows experienced open-source developers take 19% longer to complete tasks with AI tools, despite believing they're faster. This applies to familiar codebases, revealing a gap between perceived and actual productivity. The finding challenges assumptions about AI enhancing efficiency, possibly due to difficulties in transferring complex project knowledge to AI tools, emphasizing the importance of human understanding in development.
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