Eight Myths on Software Engineering and GenAI

March 1, 2026QueueOpen Access

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Key Points

This analysis investigates prevalent myths surrounding software engineering and generative AI. It aims to clarify misunderstandings in these areas.
Identification of common myths through literature review and expert interviews
Comparative analysis of misconceptions versus actual practices
Evaluation of the impact of these myths on the perception of software engineering and genAI
Highlighted five major myths and their prevalence in discussions
Clarified misconceptions about development processes and AI functionalities
Emphasized the importance of accurate understanding in the software community

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Examination of common misconceptions regarding software engineering and generative AI, suggesting clarity in the field.

Examining the most common misconceptions

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Butler et al. (2026) studied this question.

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