📄 中文摘要
在使用 Cursor 进行 AI 辅助开发的过程中,发现了两种主要的开发模式。一种是单独使用 Cursor 时,AI 通过对用户描述的特性进行假设来进行编码,虽然有时能够正确理解意图,但常常只是“基本正确”,这在代码库中会迅速累积问题。另一种模式是使用 Traycer 的 Epic Mode,该模式不会直接生成代码,而是通过不断提问来澄清用户的真实意图,确保开发过程中的需求更加明确,从而提高代码的质量和准确性。
📄 English Summary
Two Ways of Building with AI — With and Without Traycer
After a year of building with Cursor, two primary modes of AI-assisted development were identified. The first mode involves using Cursor alone, where the AI makes assumptions based on feature descriptions. While it occasionally guesses correctly, it often results in 'mostly right' interpretations, which can lead to compounding issues in the codebase. The second mode employs Traycer's Epic Mode, which refrains from jumping straight to code. Instead, it engages in a series of clarifying questions until the user's intent is fully understood, thereby enhancing the clarity and quality of the development process.
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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等