A recent survey by Jellyfish revealed significant insights into the adoption of AI coding tools among engineers. The survey included 645 full-time engineering professionals, indicating that 90% of engineering teams are utilizing AI in their workflows, a surge from 61% the previous year. Notably, 48% of respondents use two or more AI tools, emphasizing diverse evaluation strategies. GitHub Copilot is the most popular tool, favored by 42% of respondents, followed by Google's Gemini Code Assist and Amazon Q. The study focused on specialized AI tools for software engineering, avoiding general-purpose ones like ChatGPT.
In May, Jellyfish surveyed 645 full-time professionals in various engineering roles, revealing that 90% of engineering teams are now using AI in their workflows, a significant rise from 61% last year.
The survey found that almost a third of engineers have formally adopted AI tools widely, while another 39% are actively experimenting with them.
GitHub Copilot emerged as the leading AI coding tool, chosen by 42% of engineers, with Google's Gemini Code Assist and Amazon Q following as popular options.
The study focused on AI tools specifically designed for software engineering and excluded general-purpose generative AI tools like ChatGPT, underscoring the growing specialization in AI solutions.
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