Ivie: Lightweight Anchored Explanations of Just-Generated Code

要旨

Programming assistants have reshaped the experience of programming into one where programmers spend less time writing and more time critically examining code. In this paper, we explore how programming assistants can be extended to accelerate the inspection of generated code. We introduce an extension to the programming assistant called Ivie, or instantly visible in-situ explanations. When using Ivie, a programmer's generated code is instantly accompanied by explanations positioned just adjacent to the code. Our design was optimized for extremely low-cost invocation and dismissal. Explanations are compact and informative. They describe meaningful expressions, from individual variables to entire blocks of code. We present an implementation of Ivie that forks VS Code, applying a modern LLM for timely segmentation and explanation of generated code. In a lab study, we compared Ivie to a contemporary baseline tool for code understanding. Ivie improved understanding of generated code, and was received by programmers as a highly useful, low distraction, desirable complement to the programming assistant.

著者
Litao Yan
University of Pennsylvania, Philadelphia, Pennsylvania, United States
Alyssa Hwang
University of Pennsylvania, Philadelphia, Pennsylvania, United States
Zhiyuan Wu
University of Pennsylvania, Philadelphia, Pennsylvania, United States
Andrew Head
University of Pennsylvania, Philadelphia, Pennsylvania, United States
論文URL

doi.org/10.1145/3613904.3642239

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Coding with AI

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5 件の発表
2024-05-14 23:00:00
2024-05-15 00:20:00