AI coding assistants are becoming increasingly popular – especially in this country
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- 30.1% of the American Python code was written by AI coding assistants
- Newer developers are even more likely to use AI
- Tech companies also use more by AI generated code
A new research paper Entitled “Who uses AI to cod? Global Diffusion and Impact of Generative AI” discovered that our software developers worldwide are the most intensive users of AI coding assistants.
By December 2024 it was assumed that artificial intelligence had almost one in three (30.1%) Python functions generated by American developers on Github.
This brings American developers their global counterparts far ahead in terms of AI use, with countries such as German (24.3%), France (23.2%), India (21.6%), Russia (15.4%) and China (11.7%) behind.
American developers use AI coding -assistants the most
The researchers also noted that more experienced developers are less inclined to use AI (28%) compared to newer Github users (41%) who may be more receptive to the latest additives of the platform.
Although he comes with enormous productivity promises, AI does not seem to have had such a big impact.
The switch to 30% AI-generated code has only been correlated with an increase of 2.4% in quarterly commits. The researchers place the economic value of AI-assisted coding in the US in somewhere between $ 9.6 billion and $ 96 billion a year, depending on the realistic productivity gain.
However, Daniotti et al have noticed with AI use, can be linked to larger experiments, with an increase of 2.2% in new libraries and an increase of 3.5% in the observed new library combinations, which suggests that technology could help developers to extend developers to new programming gods.
The trend correlates with large technology companies such as Google, Meta and Microsoftwho now admit that a large part (up to a third) of their code, depending on the project and the use case, is generated by AI.
In the case of this study, however, the researchers admitted that the analysis focuses exclusively on open-source Python projects on Github, which is why the model effectively assumes that AI usage percentages are seen in other languages in Python.
Nevertheless, they hope that quantified research can help AI-Sceptics to make better informed decisions about how they see themselves using themselves with AI and its effects on the labor market.
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