FEATURE : AI whether measuring code volume is still the best way to measure productivity and output . According to GitHub ’ s research , developers say AI coding tools can help them meet existing performance standards with improved code quality , faster outputs and fewer production-level incidents . They also believe that these metrics should be used to measure their performance beyond code quantity .
• 35 % of developers believe they should be measured on collaboration and communication
• 34 % of developers believe they should be measured by code quality
• 34 % of developers believe they should be measured by number of bugs or issues resolved
• 34 % of developers believe they should be measured by time to complete a task
• 32 % of developers believe they should be measured by test coverage
• 32 % of developers believe they should be measured by velocity and quality of feature delivery
“ Ultimately , the way to innovate at scale is to empower developers by improving their productivity , increasing their satisfaction , and enabling them to do their best work – every day . After all , there can be no progress without developers who are empowered to drive impact ,” said Shani .
“ I say this not only as GitHub ’ s chief product officer , but as a long-time developer who has worked across every part of the stack .” p
GitHub Survey – Key findings
• AI is here and it ’ s being used at scale . 92 % of US based developers are already using AI coding tools both in and outside of work .
• Waiting on builds and tests is still a problem . Despite industry-wide investments in DevOps , developers still say the most time-consuming thing they ’ re doing at work besides writing code is waiting on builds and tests .
• Developers want more collaboration . Developers in enterprise settings work with an average of 21 other engineers on projects – and want collaboration to be a top metric in performance reviews .
• And they think AI will help . More than four out of five developers expect AI coding tools will make their team more collaborative .
• Developers also see big benefits to AI . 70 % say AI coding tools will offer them an advantage at work and cite better code quality , completion time and resolving incidents as some of the top anticipated benefits .
The bottom line
Developers want to upskill , design solutions , get feedback from endusers and be evaluated on their communication skills . However , wait times on builds and tests , as well as the current performance metrics they ’ re evaluated on , are getting in the way .
The path forward
Developer satisfaction , productivity and organizational impact are all positioned to get a boost from AI coding tools-and that will have a material impact on the overall developer experience .
www . intelligentcio . com INTELLIGENTCIO NORTH AMERICA 55