问HN：今天最好的AI编程工具是什么？
我目前的工作流程大致是这样的：编写详细的需求，远程登录到一个实例，请求一个代理编写计划，并给予其自由发挥的空间在那儿构建，只有在准备好或遇到问题时才会通知我。我也可以在IDE中手动编写代码，但只有在问题过于复杂，超出大型语言模型（LLM）的处理能力时才会这样做。
我已经在工作中使用Cursor好几年了，但我并不喜欢把所有数据都交给马斯克。此外，我觉得我想减少手动编写代码的时间。
我试过Antigravity，但它实在是太糟糕了。
我听说Opencode和Ollama云有一些不错的评价，但在通过SSH运行Opencode时似乎有些小问题。
我对将钱给这两个领域的领导者非常犹豫，我不想为他们赚更多的钱，但如果没有疑问他们是最好的，我可能会被说服，而我对此并不完全确定。
我也有预算限制，不想花200美元订阅，除非毫无疑问它是值得的。
我主要关注的是围绕AI/代理、移动应用和抓取/自动化构建MVP。
在你看来，今天是否有一个明显优越的解决方案值得推荐？在能力、性价比和使用限制方面。
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My current workflow would be something like: write detailed requirements, ssh into a remote instance, ask an agent to write a plan and giving it free rein to build it there, only pinging me back when it's ready or when it's stuck. I could write code manually in an IDE too but only when the problem is too complex for an LLM.<p>I've used Cursor for work for a few years, but I'm really not a fan of giving all of my data to Musk. Also I think I want to spend less time writing code by hand.<p>I tried Antigravity but it's utter garbage.<p>I heard some good things about Opencode+open models/ollama cloud, but opencode seems slightly buggy when running it over ssh.<p>I'm really reluctant to give my money to the 2 leaders in the field, I don't think I want to contribute to them making more money, but I could be convinced if there was no doubt they're the best, which I'm not totally sure of.<p>I'm also on a limited budget and don't want to get a 200$ subscription unless there is zero doubt it's worth it.<p>My main focus is building MVPs around AI/agents, mobile apps, and scraping/automation.<p>In your opinion is there a clearly superior solution today you'd recommend? In terms of capabilities, value for money, usage limits.