测试三大AI编程工具生成代码的环保性，发现默认行为不绿色。
Do Generative AI Tools Ensure Green Code? An Investigative Study
- 对比ChatGPT、BARD、Copilot生成代码的可持续实践
- 多数场景下生成代码违反绿色编码规则
- 提醒开发者需主动优化，适合关注代码环保的程序员
软件可持续性正成为关键议题，旨在优化资源利用、降低环境影响，构建更绿色、更具韧性的数字生态。软件的“绿色度”通常由是否采用可持续编码实践决定。随着生成式AI生态日益成熟，越来越多开发者使用自然语言提示让AI生成代码。然而，关于AI生成代码可持续性的研究仍严重不足。本文首次对三种主流生成式AI工具——ChatGPT、BARD和Copilot——生成代码的可持续性进行了初步调查。结果表明，在多种规则与场景下，这些工具默认生成的代码表现出非绿色行为，凸显了开展深入研究与制定有效修复策略的紧迫性。
原文摘要 · Abstract (English)
Software sustainability is emerging as a primary concern, aiming to optimize resource utilization, minimize environmental impact, and promote a greener, more resilient digital ecosystem. The sustainability or "greenness" of software is typically determined by the adoption of sustainable coding practices. With a maturing ecosystem around generative AI, many software developers now rely on these tools to generate code using natural language prompts. Despite their potential advantages, there is a significant lack of studies on the sustainability aspects of AI-generated code. Specifically, how environmentally friendly is the AI-generated code based upon its adoption of sustainable coding practices? In this paper, we present the results of an early investigation into the sustainability aspects of AI-generated code across three popular generative AI tools - ChatGPT, BARD, and Copilot. The results highlight the default non-green behavior of tools for generating code, across multiple rules and scenarios. It underscores the need for further in-depth investigations and effective remediation strategies.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。