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This characterization shows that AI introduces pressures beyond learning and using new tools, affecting how software professionals perform and remain accountable for technical work and how they prepare for the future of their careers.
Software engineers are increasingly dependent on LLMs, risking overreliance that could undermine traditional practices like peer consultation and documentation.
Many software engineering studies rely on fewer than 12 interviews, raising questions about the rigor of qualitative research in the field.
Forget standalone ethics modules – embedding empathy directly into core software engineering tasks is key to building responsible AI.
Software engineering students are most likely to misuse LLMs on programming assignments and documentation, especially when they feel squeezed for time or lack clear guidance.