Creativity in human-LLM collaborative software design emerges primarily from human traits and interactions, with LLMs providing supplementary novel ideas but occasionally hindering progress.
In2025 IEEE/ACM 47th International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP)
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Survey of 860 developers reveals 22 desired AI systems for non-coding tasks with explicit constraints on authority, provenance, and quality signals, framed as bounded delegation where AI handles assembly work but not core craft.
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Exploring Creativity in Human-Human-LLM Collaborative Software Design
Creativity in human-LLM collaborative software design emerges primarily from human traits and interactions, with LLMs providing supplementary novel ideas but occasionally hindering progress.
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To Copilot and Beyond: 22 AI Systems Developers Want Built
Survey of 860 developers reveals 22 desired AI systems for non-coding tasks with explicit constraints on authority, provenance, and quality signals, framed as bounded delegation where AI handles assembly work but not core craft.