CoLadder: Manipulating Code Generation via Multi-Level Blocks
Ryan Yen, Jiawen Stefanie Zhu, Sangho Suh, Haijun Xia, Jian Zhao
Abstract
This paper adopted an iterative design process to gain insights into programmers’ strategies when using LLMs for programming. We proposed CoLadder, a novel system that supports programmers by facilitating hierarchical task decomposition, direct code segment manipulation, and result evaluation during prompt authoring. A user study with 12 experienced programmers showed that CoLadder is effective in helping programmers externalize their problem-solving intentions flexibly, improving their ability to evaluate and modify code across various abstraction levels, from their task’s goal to final code implementation.
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Install the CLIlune papers fulltext b0850914-28e6-4d5a-8b79-79b5e4337523Cited by top-tier papers12
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