Beyond Functional Correctness: Design Issues in AI IDE-Generated Large-Scale Projects
New generation of AI coding tools, including AI-powered IDEs equipped with agentic capabilities, can generate code within the context of the project. These AI IDEs are increasingly perceived as capable of producing project-level code at scale. However, there is limited empirical evidence on the extent to which they can generate large-scale software systems and what design issues such systems may exhibit. To address this gap, we conducted a study to explore the capability of Cursor in generating large-scale projects and to evaluate the design quality of projects generated by Cursor. First, we propose a Feature-Driven Human-In-The-Loop (FD-HITL) framework that systematically guides project ...
| Authors | Syed Mohammad Kashif, Ruiyin Li, Peng Liang et al. |
|---|---|
| Primary category | cs.SE |
| Published | 7 April 2026 |
| Last updated at source | 7 April 2026 |
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