Table of Contents:
  • Preface
  • Chapter 1. Impact of Generative AI Assistants on Software Engineers' Skills, Workflow Efficiency, and Decisions
  • Chapter 2. Developer Confidence, Competence, and Self-Efficacy in the Age of AI
  • Chapter 3. Deskilling and Reskilling: Mental Health Challenges for IT Professionals in AI-Integrated Workplaces
  • Chapter 4. From Coding to Orchestration: How Multi-Agent AI Systems Are Reskilling Software Engineers
  • Deskilling Risks and Reskilling Pathways in AI-Augmented Development
  • Chapter 5. Beyond Coding: High-Level Reasoning, System Design, and Quality Gatekeeping in an AI-Driven Development Landscape
  • Chapter 6. From Copilot to Colleague: Governing Skill Transformation in AI-Augmented Software Engineering
  • Chapter 7. Rethinking Software Engineering Skills in the Age of AI
  • Chapter 8. Integrating AI Literacy, Secure Coding, and Critical Evaluation
  • Chapter 9. Artificial Intelligence and the Transformation of Software Engineering Skills: Deskilling Risks, Reskilling Imperatives, and Future Workforce Pathway
  • Chapter 10. The Future of Software Engineering: Augmented Engineers, Human Judgment, and Intelligent Automation
  • Chapter 11. The Reskilling Imperative: Redefining Software Engineering Skills in the Age of AI-Generated Code
  • Chapter 12. Leading AI Transition: Deskilling, Reskilling, and Frameworks for Engineering Managers
  • Compilation of References
  • About the Contributors
  • Index.