A recent study by METR found that experienced developers using AI coding tools were 19% slower in reality, despite believing they were 20% faster. This gap between perceived and actual performance highlights a potential productivity paradox with current AI assistants. Further data from GitClear indicates an 8x increase in duplicated code blocks, and DORA reported a 7.2% decrease in stability correlating with a 25% rise in AI adoption. AI
IMPACT AI coding tools may create a productivity paradox, increasing perceived speed but decreasing actual efficiency and code stability.
RANK_REASON Article discusses research findings and industry data regarding the impact of AI coding tools on developer productivity and code quality.
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