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Understanding and supporting how developers prompt for LLM-powered code editing in practice

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Nam, Daye, Omran, Ahmed, Murillo, Ambar, Thakur, Saksham, Araujo, Abner, Blistein, Marcel, Frömmgen, Alexander, Hellendoorn, Vincent, Chandra, Satish
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Artificial Intelligence Human-Computer Interaction
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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