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Fewer Clarifications, Better Code: Benchmarking Cross-Session Personalized Ambiguity Adaptation in Coding Assistants

19 upvotes · 29 JUL 2026 · Zijian Xu, Wenshuo Zhang, Zisen Qin et al.

This paper investigates how AI-assisted coding assistants can better understand and respond to users' ambiguous coding requests by leveraging their past experiences. A practitioner might care about developing more effective coding assistants that can reduce the need for repeated clarification.

AI-assisted codingnatural language processinguser modelingambiguity resolutionlong-term memory