AI 中文总结
本文通过对比Copilot、Cursor、Windsurf三款智能体IDE生成五个全栈网页应用的表现，发现其在生成常见模式时成熟度高，但生成分布式架构错误多，无法替代开发者，仅能辅助开发者构建软件。
AI 中文摘要
智能体集成开发环境（Agentic IDE）是软件工程领域最重要的创新之一，旨在通过基于大语言模型（LLM）的智能体辅助开发者，从而加速应用开发进程。然而，这类工具在涉及完整应用生成的端到端开发任务中的评估仍较为有限。为填补这一空白，本文对三款流行的智能体IDE（Copilot、Cursor和Windsurf）进行了严格的对比分析，从零开始生成了五个全栈网页应用。结果显示，在生成CRUD操作、认证功能等成熟模式时，这类工具表现出较高的成熟度；相比之下，生成任务队列架构等不太常见的分布式架构时，会产生明显更多的错误。总体而言，研究表明，智能体IDE无法替代开发者，而是将开发者的角色转向通过自然语言指令和迭代优化来协调基于LLM的智能体以构建软件。不过，尽管差异不大，每款智能体IDE都展现出自身的独特性。
英文摘要
Agentic IDEs are among the most significant innovations in software engineering, aiming to accelerate application development through LLM-based agents that can assist developers during development. However, their evaluation in end-to-end development tasks involving the generation of complete applications remains limited. To fill this gap, we propose a rigorous comparative analysis of three popular agentic IDEs (Copilot, Cursor, and Windsurf) in the generation of five full-stack Web applications from scratch. Results show high maturity in the generation of established patterns, such as CRUD operations and authentication features. In contrast, the generation of less common distributed architectures, such as a task queue architecture, produces significantly more errors. Overall, results show that Agentic IDEs cannot replace developers but shift their role toward building software by orchestrating LLM-based agents through natural-language instructions and iterative refinement. Yet, each agentic IDE shows its peculiarities, although differences are narrow.
