TechCrunch News 03月07日
ChatGPT on macOS can now directly edit code
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OpenAI的ChatGPT macOS应用程序最新版本现已支持直接编辑代码,适用于Xcode、VS Code和JetBrains等开发者工具。ChatGPT Plus、Pro和Team订阅者可以通过更新macOS应用程序来使用此功能。用户可以选择开启“自动应用”模式,使ChatGPT无需额外点击即可进行编辑。此功能基于OpenAI去年11月推出的“work with apps”能力,旨在减少在ChatGPT中复制粘贴代码的需求,直接与Cursor和GitHub Copilot等AI编码工具竞争。尽管AI编码助手日益普及,但安全、版权和可靠性风险仍然存在。

💻 ChatGPT macOS版现已支持直接在Xcode、VS Code和JetBrains等IDE中编辑代码,为开发者提供更便捷的编码体验。

🛠️ 用户可以选择开启“自动应用”模式,简化编辑流程,使ChatGPT能够自动应用更改,无需额外确认。

🚀 这一功能建立在OpenAI的“work with apps”能力之上,旨在减少开发者在ChatGPT中复制粘贴代码的需求,提升工作效率。

🔒 尽管AI编码助手越来越受欢迎,但安全风险依然存在。Harness的调查显示,开发者花费更多时间调试AI生成的代码和安全漏洞。

ChatGPT, OpenAI’s AI-powered chatbot platform, can now directly edit code — if you’re on macOS, that is.

The newest version of the ChatGPT app for macOS can take action to edit code in supported developer tools, including Xcode, VS Code, and JetBrains. Users can optionally turn on an “auto-apply” mode so ChatGPT can make edits without the need for additional clicks.

Subscribers to ChatGPT Plus, Pro, and Team can use the code editing feature as of Thursday by updating their macOS app. OpenAI says that code editing will roll out to Enterprise, Edu, and free users next week.

In a post on X, Alexander Embiricos, a member of OpenAI’s product staff working on desktop software, added that the ChatGPT app for Windows will get direct code editing “soon.”

Direct code editing builds on OpenAI’s “work with apps” ChatGPT capability, which the company launched in beta last November. Work with apps allows the ChatGPT app for macOS to read code in a handful of dev-focused coding environments, minimizing the need to copy and paste code into ChatGPT.

With the ability to directly edit code, ChatGPT now competes more directly with popular AI coding tools like Cursor and GitHub Copilot. OpenAI reportedly has ambitions to launch a dedicated product to support software engineering in the months ahead.

AI coding assistants are becoming wildly popular, with the vast majority of respondents in GitHub’s latest poll saying that they’ve adopted AI tools in some form. Y Combinator partner Jared Friedman recently claimed a quarter of YC’s W25 startup batch have 95% of their codebases generated by AI.

But there are a number of security, copyright, and reliability risks associated with AI-powered assistive coding tools. A survey from software vendor Harness found that the majority of devs spend more time debugging AI-generated code and security vulnerabilities compared to human-written contributions. A Google report, meanwhile, found that AI can quicken code reviews and benefit documentation, but at the cost of delivery stability.

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