INTELLIGENT BRANDS // Software for Business

Ness-Zinnov study says GenAI also allows for deeply assisted context – enabling companies to globalize work frictionlessly .

The study Harnessing the Power of Generative AI ( GenAI ) in Transforming Software Engineering Productivity is pitched as helping CIOs , CTOs and CPOs understand the technology and psychological Drivers of engineering productivity and the long-term ramifications on both business and organizational design .

Utilizing Ness ’ s proprietary platform Matrix to collect data , the study engaged 100 + software engineers across use cases and development settings and in-depth analysis of engineers ’ real-world experiences in live engineering environments .

The study revealed that GenAI implementation not only increases productivity but also allows for deeply assisted context , enabling companies to globalize work frictionlessly .

The implication of this is , the study says , not just better business outcomes but an entirely transformed organizational design .

Other key observations that emerged were :

• 70 % reduction in task completion time for existing code updates : Engineers witnessed maximum impact when utilizing existing codebase functions , leading to reduced 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 : Gen AI enables engineers to navigate complex coding scenarios with increased efficiency , contributing to faster and more accurate resolutions .

• 70 % improved engagement : By simplifying tasks and fostering a more collaborative and dynamic work environment , Gen AI plays a pivotal role in creating a positive and fulfilling professional experience .

The identified shift is said to challenge traditional organizational structures by focusing more on expertise and efficiencies that will be assisted by technology but controlled and decided by people .

This is seen as heralding the potential for a new kind of workforce – where domain expertise and problem-solving capabilities will preside over technology skills .

Ranjit Tinaikar , CEO , Ness Digital Engineering , said : “ GenAI stands poised to transform the software development landscape by offering substantial productivity enhancements and expediting innovation cycles , ultimately accelerating time to market .

“ However , its potential could be hindered if narrowly perceived as a mere code generation tool , a misconception prevalent in the software development realm .”

Pari Natarajan , CEO , Zinnov , said : “ This study validates the belief that Generative AI complements rather than dictates workflows , facilitating frictionless knowledge sharing and unlocking the true value of globalization .

“ This has led to increased confidence among CIOs and CTOs in distributing development teams globally , with minimal impact on productivity .

“ Additionally , the widespread use of Generative AI has boosted employee morale , surpassing productivity gains .

“ While the potential of Generative AI is vast , limitations primarily stem from hardware costs , energy consumption and regulatory constraints .” p

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