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CHI2025顶会

DynEx: Dynamic Code Synthesis with Structured Design Exploration for Accelerated Exploratory Programming

Jenny Guangzhen Ma, Karthik Sreedhar, Vivian Liu, Pedro Alejandro Perez, Sitong Wang, Riya Sahni, Lydia B. Chilton

2025年份
11被引次数
3顶会引用

摘要

Recent advancements in large language models have significantly expedited the process of generating front-end code. This allows users to rapidly prototype user interfaces and ideate through code, a process known as exploratory programming. However, existing LLM code generation tools focus more on technical implementation details rather than finding the right design given a particular problem. We present DynEx, an LLM-based method for design exploration in accelerated exploratory programming. DynEx introduces a technique to explore the design space through a structured Design Matrix before creating the prototype with a modular, stepwise approach to LLM code generation. Code is generated sequentially, and users can test and approve each step before moving onto the next. A user study of 10 experts found that DynEx increased design exploration and enabled the creation of more complex and varied prototypes compared to a Claude Artifact baseline. We conclude with a discussion of the implications of design exploration for exploratory programming.

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