📄 中文摘要
传统的系统设计过程通常需要长时间的白板讨论、设计文档的撰写以及对数据模型和服务边界的深入辩论。这一过程虽然详尽，但往往耗时较长，可能需要数周才能从高层概念转化为具体的实施计划。为了缩短这一时间，探索更多选项并以更快的速度和更高的信心验证想法，作者在构建新的工程分析平台时，推动了 AI 辅助开发的边界。在与大型语言模型的 11 次长时间互动中，作者不仅仅停留在简单的代码补全，而是利用 AI 进行了更深层次的设计和验证。
利用 AI 加速建筑设计：来自 1 亿个标记和 11 次会议的经验教训
📄 English Summary
Accelerating Architectural Design with AI: Lessons from 100 Million Tokens and 11 Sessions
The traditional system design process often involves extensive whiteboard sessions, lengthy design documentation, and in-depth debates over data models and service boundaries. While thorough, this process can be time-consuming, sometimes taking weeks to transition from a high-level concept to a concrete implementation plan. To compress this timeline and explore more options with greater speed and confidence, the author pushed the boundaries of AI-assisted development while laying the groundwork for a new engineering analytics platform. Through 11 long-running sessions and nearly 100 million tokens of interaction with a large language model, the author moved beyond simple code completion, leveraging AI for deeper design and validation.