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CoLadder: Manipulating Code Generation via Multi-Level Blocks

Ryan Yen, Jiawen Stefanie Zhu, Sangho Suh, Haijun Xia, Jian Zhao

2024Year
22Citations
12Top-tier citations

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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