FEATURE : AI
AI coding tools require evolution of performance metrics
Inbal Shani , Chief Product Officer , GitHub , introduces Intelligent CIO to the findings of a major survey outlining the impact of AI tools on developer experience .
Amid the rapid advancements in generative AI , GitHub wanted to get a better understanding from developers about how new tools – and current workflows – are impacting the overall developer experience .
“ Developers today do more than just write and ship code – they ’ re expected to navigate a number of tools , environments , and technologies , including the new frontier of generative Artificial Intelligence ( AI ) coding tools ,” said Inbal Shani , Chief Product Officer , GitHub .
“ But the most important thing for developers isn ’ t story points or the speed of deployments , it ’ s the developer experience , which determines how efficiently and productively developers can exceed standards , enter a flow state and drive impact .”
GitHub partnered with Wakefield Research to survey 500 US based developers at companies with more than 1,000 employees . It found that AI tools are already being widely adopted by developers , that these tools are having a measurable impact on individual productivity and team collaboration , and that they will require engineering leaders to adjust how performance is measured .
The research found that 92 % of developers are already using AI coding tools at work . 70 % reported that AI coding tools will offer them an advantage at work , with numerous reported benefits driving adoption :
• 81 % say AI coding tools will help increase collaboration within their teams and organizations , with security reviews , planning and pair programming identified as significant tasks to benefit
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