"This is essentially a development kit for dexterity. You get this hardware, you explore what can be done in terms of dexterity, then that helps you work out what you want to build if you're going to build a bigger system, or a bigger project, or deploy something," explains Walker.
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，这一点在雷电模拟器官方版本下载中也有详细论述
Last May, I wrote a blog post titled As an Experienced LLM User, I Actually Don’t Use Generative LLMs Often as a contrasting response to the hype around the rising popularity of agentic coding. In that post, I noted that while LLMs are most definitely not useless and they can answer simple coding questions faster than it would take for me to write it myself with sufficient accuracy, agents are a tougher sell: they are unpredictable, expensive, and the hype around it was wildly disproportionate given the results I had seen in personal usage. However, I concluded that I was open to agents if LLMs improved enough such that all my concerns were addressed and agents were more dependable.
productivity. The tools included in our list are some of the most advanced and