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AI Impacts on Deskilling and Reskilling Software Engineers

Hanh Le

$605.95   $485.11

Hardback

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English
Igi Global Scientific Publishing
09 April 2026
As AI increasingly performs tasks once requiring deep technical expertise, software engineering faces a paradox. Programmers are simultaneously at risk of deskilling while being pushed to acquire new forms of knowledge and responsibility. However, AI can shift core competencies, reshape workflows, and redistribute responsibilities, offering a framework for organizations and developers to adapt strategically. Professional software engineers may use intelligent tools for improved upskilling and reskilling, identifying new skills required to remain competitive and effective. Further exploration may provide clarity for decision-makers navigating emerging debates around automation, workforce displacement, AI reliability, and ethical development practices. AI Impacts on Deskilling and Reskilling Software Engineers explores how generative AI tools reshape the foundations, workflows, and professional identities of software engineers. It examines how automation changes what developers do and think, addressing the shifting skill demands in software engineering, from traditional coding proficiency to AI oversight, prompt design, architecture-level reasoning, collaboration, and ethical decision-making. This book covers topics such as skill development, IT management, and system design, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.
Edited by:  
Imprint:   Igi Global Scientific Publishing
Dimensions:   Height: 254mm,  Width: 178mm,  Spine: 24mm
Weight:   925g
ISBN:   9798337384504
Pages:   600
Publication Date:  
Audience:   General/trade ,  ELT Advanced
Format:   Hardback
Publisher's Status:   Active

Dr. Hanh Le is a passionate researcher and accomplished Full Stack Software Developer with deep expertise in software development, data analytics, data science, and cloud computing. She holds a Ph.D. in Information Technology and a Master's in Computer Science, bringing both academic rigor and a solution-driven mindset to her work. With extensive experience in front-end and back-end development, she specializes in scalable, database-driven applications that support evidence-based decision-making. Dr. Le has led transformative tech initiatives across healthcare, law enforcement, and retail, translating complex needs into high-performing systems. She values interdisciplinary collaboration, believing that impactful innovation often arises at the intersection of fields. Her blend of technical skill, research excellence, and collaborative spirit continues to drive progress in academia and industry alike.

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