1、AI-Assisted Coding:Augmenting Software Development with Generative AIExploring the Integration of Generative AI in Software Engineering to Enhance Coding and Team Collaboration2Augmented Software Teams:How to drive maximum assistance from Generative AIWe can drive software engineering transformation

2、 with you13The dawning of a new era for software engineering14Generative AI is software engineerings latest and greatest evolution.Bringing tomorrows software engineering paradigm into view:augmented software teams0405How to move forward:A proven method for a software engineering transformationAsses

3、s the organizations maturity and develop a roadmap with clear objectives.Run real-world experimentations and measure the impact of Generative AIDeploy Generative AI for Software Engineering at scale0707 08 08Capgeminis experience in measuring Generative AI impactMeasurement protocol and real-world e

4、xperimentations:designed for actionable and reliable resultsPrerequisites&Success FactorsLessons learned0909 1112CONTENTS3Augmented Software Teams:How to drive maximum assistance from Generative AI3Augmented Software Teams:How to drive maximum assistance from Generative AIDisclaimer:This paper prese

5、nts forward-looking perspectives grounded in the current landscape of Generative AI.It reflects the rapid advancement both in terms of our understanding and experience of Generative AI technologies.It draws insights from external research,technology leaders as well as our own experimentations with o

6、ur teams and with clients.As always,the future remains unpredictable,but we can establish and imagine likely trajectories and outlooks.Software plays a critical role in modern business,whether its integrated into business apps or products.Despite its ubiquity,the ultimate challenge for software engi