Bangalore (Karnataka) [India], February 15: A recent joint study conducted by Ness Digital Engineering (Ness) and Zinnov has revealed that the implementation of Generative Artificial Intelligence (GenAI) can significantly improve software engineering productivity. The study titled Harnessing the Power of Generative AI (GenAI) in Transforming Software Engineering Productivity measured the actual productivity gains resulting from the deployment of GenAI at an engineering level.
The study, which aimed to help CTOs, CIOs, and CPOs understand the impact of GenAI on engineering productivity and its long-term ramifications on business and organizational design, utilized Ness Digital Engineering’s proprietary platform Matrix to collect data. The study engaged over 100 software engineers across different use cases and development settings, conducting in-depth analysis of their real-world experiences in live engineering environments.
The findings of the study indicate that the implementation of Generative AI not only increases productivity but also enables companies to globalize work seamlessly by providing deeply assisted context. This not only leads to better business outcomes but also transforms organizational design. Some of the key observations from the study include:
– 70% reduction in task completion time for existing code updates: Engineers witnessed the maximum impact when utilizing existing codebase functions, resulting in a reduced development cycle time.
– 48% reduction in task completion time for senior engineers: Senior engineers experienced reduced task completion time and were able to allocate their time towards better planning and assisting junior engineers.
– Approximately 10% reduction in high code complexity tasks: Generative AI facilitates engineers in navigating complex coding scenarios with increased efficiency, resulting in faster and more accurate resolutions.
– Improved engagement by 70%: Generative AI simplifies tasks and fosters a collaborative and dynamic work environment, leading to a positive and fulfilling professional experience.
This shift towards Generative AI challenges traditional organizational structures by placing more emphasis on expertise and efficiencies that are assisted by technology but controlled and decided by people. This will necessitate a new kind of workforce, where domain expertise and problem-solving capabilities outweigh technology skills.
Ranjit Tinaikar, CEO of Ness Digital Engineering, emphasized the potential of GenAI to transform the software development landscape. He highlighted the need to understand GenAI’s impact on the product development process, organization structures, employee engagement, learning, and development. Tinaikar highlighted the misconception that GenAI is solely a code generation tool and stressed the importance of harnessing its full potential.
Pari Natarajan, CEO of Zinnov, added that Generative AI is now integrated into software engineering workflows across many organizations, aiding in tasks like generating test cases, refactoring code, and identifying innovation opportunities. Natarajan stated that Generative AI complements existing workflows and enables frictionless knowledge sharing, thereby unlocking the true value of globalization. She further explained that Generative AI has boosted employee morale, surpassing the productivity gains. However, limitations primarily arise from hardware costs, energy consumption, and regulatory constraints.
Ness Digital Engineering is a global full-lifecycle digital services transformation company, offering digital advisory and scaled engineering services. The company is a subsidiary of KKR, one of the leading global investment firms. Zinnov, on the other hand, is a global management and strategy consulting firm, assisting companies across various industries in accelerating their technology journeys.
The study conducted by Ness and Zinnov provides valuable insights into the impact of GenAI on software engineering productivity and beyond. It sheds light on not only productivity gains but also the potential for organizational transformation. As businesses continue to navigate the digital landscape, the integration of Generative AI is expected to play a crucial role in facilitating innovation and achieving faster time to market.
Disclaimer: This article was generated by AI language model and has not been edited by a human editor.
