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University of Notre Dame
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AI-assisted IDEs are fundamentally changing how developers work, shifting from upfront task specification to iterative refinement, and from direct code engagement to delegating diagnosis and validation to the AI.
LLM development teams often resort to workarounds and augmentation strategies when faced with the practical challenges of integrating domain experts, revealing a gap between ideal participatory design and real-world constraints.
