我给一个 AI 代理一个提示,它在 Godot 4 中构建了一个活生生的城市
📄 中文摘要
在使用 AI 编码代理(如 Claude Code 和 Cursor)加速 Godot 游戏开发的过程中,遇到了代理无法“看见”其操作的问题。代理根据提示生成代码,但在运行游戏时常常出现错误,需要反复沟通以修正。这种盲目的操作导致了许多简单的放置问题需要耗费大量时间来解决。为了解决这个问题,作者提出了一种新的方法,旨在提高 AI 代理的效率,使其能够更准确地理解和执行任务,从而减少开发过程中的反复试错。通过这种方式,AI 代理能够更好地处理游戏对象的定位和放置,提升整体开发体验。
📄 English Summary
I gave an AI agent one prompt and it built a living city in Godot 4
The article discusses the challenges faced when using AI coding agents like Claude Code and Cursor for game development in Godot. These agents can write GDScript but lack the ability to visualize their actions, leading to inefficient back-and-forth communication when errors occur. For instance, when instructed to place an object, the agent guesses coordinates that may not be suitable, resulting in floating or misplaced items. This iterative process can consume hours for simple placement issues. To address this limitation, the author developed a solution aimed at enhancing the agent's understanding of spatial relationships, thereby improving its accuracy in executing tasks and streamlining the development process.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等