Generative AI Improves Software Engineering Productivity By 70%
Ness Digital Engineering and Zinnov's joint study, "Harnessing the Power of Generative AI (GenAI) in Transforming Software Engineering Productivity," delves into tangible productivity gains resulting from GenAI deployment at the engineering level. Using Ness' Matrix platform, the study engaged over 100 software engineers, unveiling notable benefits. These include a 70% reduction in task execution time for code updates, a 48% decrease in task completion time for senior engineers, a 10% drop in high code complexity tasks, and a 70% improvement in overall engagement. Beyond enhancing productivity, the study highlights the transformation of organizational design and a shift towards prioritizing expertise and efficiency over technological skills.
Ranjit Tinaikar, CEO of Ness Digital Engineering, emphasizes GenAI's transformative potential beyond being perceived as a mere code generation tool. Pari Natarajan, CEO of Zinnov, underscores GenAI's integration into software engineering workflows, supporting various tasks and fostering knowledge sharing, global team distribution, and improved morale. Despite the substantial potential, challenges remain in hardware costs, energy consumption, and regulatory constraints.
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