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A new study monitors the wide spread of artificial intelligence tools among programmers

 

artificial intelligence




A new study monitors the wide spread of artificial intelligence tools among programmers


The study stated that about 92% of programmers rely on various artificial intelligence tools such as ChatGPT, Google Bard, and others in their daily tasks, and more than 70% of the study participants indicated that the integration of artificial intelligence tools has greatly enhanced work efficiency.


GitHub is the largest gathering of programmers on the Internet, and it is a software development platform used to manage and share programming projects. It is also the largest repository of open-source projects and code in the world and provides a collaborative environment for developers to work together on joint software projects.


The study included about 500 developers working in large companies in the United States, and the study focused on the important role that artificial intelligence tools play in the programming community.


According to the results, many employees reported that incorporating AI tools into the programming process not only helped them adhere to performance standards but also allowed them to improve code quality, speed up output generation, as well as reduce errors.


Commenting on the study, Inbal Shani, Product Manager at GitHub, emphasized the importance of boosting developer productivity and satisfaction with new AI tools, saying, “We can really innovate at scale by empowering developers to do their best every day.”


One of the main advantages of AI programming tools is their ability to automate simple, repetitive tasks, shifting developers' focus to more complex tasks, and improving efficiency and productivity. Moreover, these tools help programmers quickly debug code, saving companies time and resources.


While the study confirms the benefits of using AI tools in programming, it also points to potential concerns about the devaluation of human expertise due to the increasing reliance on AI-generated code.


The study quotes Mark Collier, Operations Director at OpenInfra, which is active in the field of open source software, as he pointed out that the developer community is currently grappling with revisions of code generated through artificial intelligence, because they are often of poor quality, and the programmer who transmits them cannot explain them. Because he simply did not write it, as he put it.


The study highlighted the importance of setting limits and rules when using artificial intelligence tools in software development.

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