GenAI Improves Software Engineering Productivity by 70%, says Study

Study reveals GenAI implementation not only increases productivity but also allows for deeply assisted context, enabling companies to globalize work frictionlessly.

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  • [Image source: Anvita Gupta/MITSMR Middle East]

    Generative AI (GenAI) is radically reshaping the technology and digital landscape. While it is constantly changing, one thing remains clear: major industries will be transformed and powered by GenAI.

    It will also transform the software development landscape by offering productivity enhancements and expediting innovation cycles, ultimately accelerating time to market. 

    While productivity is a known outcome of GenAI initiatives, a new report, Harnessing the Power of Generative AI (GenAI) in Transforming Software Engineering Productivity, by Ness Digital Engineering, a full-lifecycle digital services transformation company, and Zinnov, a global management and strategy consulting firm, measures the actual productivity gains resulting from deploying GenAI at an engineering level. 

    The study is aimed to help CTOs, CIOs, and CPOs understand engineering productivity’s technology and psychological drivers and the long-term ramifications on business and organizational design.

    The study revealed that GenAI implementation increases productivity and allows for deeply assisted context, enabling companies to globalize work frictionlessly. The implication of this is not just better business outcomes but an entirely transformed organizational design. 

    Other key findings of the report:

    70% Reduction in Task Completion Time for Existing Code Updates: Engineers witnessed maximum impact when utilizing existing codebase functions, reducing the development cycle time.

    48% Reduction in Task Completion Time for Senior Engineers: Senior engineers witnessed reduced task completion time and found themselves using their time to plan better and assist junior engineers.

    ~10% Reduction in High-Code Complexity Tasks: GenAI enables engineers to navigate complex coding scenarios more efficiently, contributing to faster and more accurate resolutions.

    70% Improved Engagement: GenAI is pivotal in creating a positive and fulfilling professional experience by simplifying tasks and fostering a more collaborative and dynamic work environment.

    This shift challenges traditional organizational structures by focusing 

    more on expertise and efficiencies that will be assisted by technology but controlled and decided by people. This will mean a new kind of workforce – where domain expertise and problem-solving capabilities will preside over technology skills.

    Keen to know how emerging technologies will impact your industry? MIT SMR Middle East will be hosting the second edition of NextTech Summit.


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