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1、The new software generationThe true value of Gen AI in software developmentEarly predictionsSoftware is vital to modern business,and not just for“software companies.”When we talk about software,we include consumer software,as well as the enterprise software that powers every company today.Less visib

2、le is the ubiquitous embedded software that keeps countless devices and organizations running smoothly.In all its forms,software engineering is undergoing a massive shift.Now that generative AI has been in the public sphere for well over a year,a more subtle and accurate assessment of its abilities

3、is possible.Our new research explores the last category coding or,more broadly,the impact of Gen AI on software engineering.We examine which predictions are proving correct,near-correct,and what was missed.When generative AI made its debut on the public stage,three applications captured the publics

4、imagination:Writing,including some of the most stunning displays of artificial intelligence ever witnessed.Visual imagery,with amazing abilities to create images using written prompts.Coding,which was revolutionary in providing intelligent code suggestions and automating repetitive tasks.As Gen AI t

5、akes the world of software engineering by storm,reports are emerging of huge productivity gains and mass adoption.But is this really the case?New research from the Capgemini Research Institute(CRI)brings the value of generative AI into focus.2Testing our hypothesesWeve been watching and working this

6、 space closely,and for practically every aspect of software development,weve seen someone,somewhere,testing Gen AI to improve the process.Our casual observations raised many questions.Among them:How will generative AI impact the various stages of the software development lifecycle(SDLC)?How can orga