Intelligent CIO North America Issue 36 | Page 26

TRENDING belong to smaller organizations or start-ups or more than one person .
From this data , GitHub surmises that it is clear individuals are building with AI on GitHub the most .
The research reveals GPT language models are being integrated with user-facing tools , such as APIs , bots , assistants , mobile applications and plugins – leading to more software development .
This has led to a growth of new categories of skills such as prompt-engineering .
“ What we draw from all this is that generative AI is turbocharging developer productivity with gains that will ultimately drive a boom in GDP for the global economy and , in turn , a surge in demand for software developers . We ’ ve seen this throughout the history of developer tool innovations from compilers to open source and we ’ re already seeing that again with GitHub Copilot and soon GitHub Copilot X . One year later , we ’ ve realized this collision of AI and the software developer will not lead to a decrease in developer jobs – it will lead to AI augmenting developer potential and accelerating human progress .”
Open source alternatives to ChatGPT , such as Dolly , as well as other advancements in using ChatGPT , such as alternative web UIs for ChatGPT like ChatGPT Demo and Chatbot-UI have been built off the initial explosion of GPT and ChatGPT .
GitHub ’ s study also found that less experienced developers have a greater advantage with tools like GitHub Copilot , which is corroborated by other studies , including GitHub ’ s previous experiments on the impact of AI on developer productivity .
Thomas Dohmke , GitHub CEO , said : “ The economic impact of generative AI over the next decade will be profound . We ’ re already seeing large-scale adoption of AI coding tools like GitHub Copilot by developers and companies . In a recent survey , 92 % of developers said they use AI tools both in and outside of work , which underscores how quickly these tools are redefining the overall developer experience .
The research says that as developers use these tools to upskill , they will become more fluent in prompting and interacting with AI to power the development lifecycle .
This , the research says , will ultimately help democratize software development for more people , help close the labor gap , and establish AI pair programming tools as part of the standard developer education experience . p
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