A study by METR revealed that experienced developers using AI tools take 19% longer to complete programming tasks compared to those without such assistance. Although participants initially expected AI to save time, the reality showed a notable delay in productivity. The study identified reasons for the slowdown, including poor AI code suggestions and difficulties with complex project structures. Despite some developers believing AI was beneficial, the evidence pointed to its hindrances in development efficiency, raising questions about its overall impact on more experienced programmers.
The use of AI tools slows down development work by 19 percent in practice, contrary to expectations that they would increase developer productivity.
Developers predicted AI would lead to time savings of up to 24 percent, but results showed those using AI took longer to complete their tasks.
Many participants continued to believe that AI helped them, despite evidence indicating that their task completion was significantly delayed by the AI tools.
AI tools often made irrelevant or incorrect code suggestions, which consumed valuable time, and they struggled with understanding complex project structures.
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