问HN：AI集成开发环境相比于将代码复制粘贴到聊天应用中，究竟好多少？
我想听听大家对人工智能集成开发环境（IDE）的使用体验。
为了提供一些背景信息，我是Gemini和ChatGPT的重度用户，主要用于编码，同时也在使用Copilot。但我还没有使用Cursor、Windsurf等工具。
在聊天应用中复制粘贴是一个发达国家的问题：它能为你完成工作，但你必须在提示中提供所有的上下文，这对于一个较大的项目来说，变得很繁琐。
Copilot的问题在于，它的智能程度不如那些“思考型”的聊天应用。
这也清楚地表明了为什么需要人工智能IDE。我不想将我的上下文构建到聊天应用中。上下文已经在我的代码库中，所以人工智能应该能够识别它。但我也听说，由于按使用量收费，这会变得很昂贵，而如果你支付月费，思考型聊天应用则提供几乎无限的提示。
所以我只是想了解一下情况。这些IDE在将你的上下文构建到大型语言模型（LLMs）方面表现如何？它们的费用高多少，值得吗？
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I just wanted to hear peoples experiences with AI IDEs.<p>For context, I'm a heavy user of Gemini / ChatGPT for coding and Copilot. But I haven't used Cursor / Windsurf / etc..<p>Copy pasting into chat apps is a first world problem: it will do the work for you, but you have to give it all the context in the prompt, which for a larger project, gets tedious.<p>The issue with Copilot is that it's not as smart as the "thinking" chat apps.<p>This makes it clear why there's such a need for AI IDEs. I don't want to construct my context to a chat app. The context is already in my codebase, so the AI should pick up on it. But I also hear that it gets expensive because of the pay-per-use pricing, as opposed to effectively unlimited prompts for a thinking chat app if you pay the monthly subscription.<p>So I just wanted to get the lay of the land. How good are these IDEs on constructing your context to the LLMs? How much more expensive is it, and is it worth it for you?