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Experienced software developers assumed AI would save them a chunk of time. But in one experiment, their tasks took 20% longer.

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Τίτλος: Experienced software developers assumed AI would save them a chunk of time. But in one experiment, their tasks took 20% longer.
Συγγραφείς: Rogelberg, Sasha (AUTHOR)
Πηγή: Fortune.com. 7/21/2025, pN.PAG-N.PAG. 1p.
Θεματικοί όροι: *Artificial intelligence, *Computer software developers, *Time management, Debugging, Scientific experimentation
Περίληψη: The article discusses a study conducted by Model Evaluation and Threat Research (METR) that found AI tools may not enhance productivity for experienced software developers. In an experiment involving 16 developers, the use of AI tools resulted in task completion times that were 19% longer than when they worked without AI, contradicting their expectations of a 24% reduction in time. The study highlights that developers often had to spend significant time debugging AI-generated outputs and adapting them to their specific projects, suggesting that the integration of AI into skilled work may require careful consideration and further research before widespread implementation. [Extracted from the article]
Copyright of Fortune.com is the property of Fortune Media (USA) Corporation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Business Source Index
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  Data: Experienced software developers assumed AI would save them a chunk of time. But in one experiment, their tasks took 20% longer.
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  Data: The article discusses a study conducted by Model Evaluation and Threat Research (METR) that found AI tools may not enhance productivity for experienced software developers. In an experiment involving 16 developers, the use of AI tools resulted in task completion times that were 19% longer than when they worked without AI, contradicting their expectations of a 24% reduction in time. The study highlights that developers often had to spend significant time debugging AI-generated outputs and adapting them to their specific projects, suggesting that the integration of AI into skilled work may require careful consideration and further research before widespread implementation. [Extracted from the article]
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  Data: <i>Copyright of Fortune.com is the property of Fortune Media (USA) Corporation and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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