8个代理编写了完美的组件 - 但没有一个能正常工作

📄 中文摘要

在构建一个完整的全栈应用程序时,8个并行运行的AI代理各自负责不同的部分,并成功生成了干净且可编译的代码。然而,在尝试将这些组件连接在一起时,发现每个边界都存在错误。这些错误主要源于代理之间未能协调共享的合同,例如列名、URL路径、参数格式或标识符。为了解决这些问题,建议将这些合同提取到一个单一的参考文件中,并在并行代理完成后运行一个审查代理,追踪端到端的数据流。这一步骤成功修复了所有17个错误。

📄 English Summary

8 Agents Wrote Perfect Components - And Nothing Worked

Eight parallel AI agents were launched to build a full-stack application on AWS, with each agent responsible for a different component, resulting in clean, compiling code. However, when attempting to integrate these components, bugs were encountered at every boundary due to a lack of coordination on shared contracts, such as column names, URL paths, parameter formats, and identifiers. To address these issues, it is recommended to extract these contracts into a single reference file before generation and to run a review agent to trace end-to-end data flows after the parallel agents have completed their tasks. This single step resolved all 17 bugs in one pass.

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数据源: OpenAI, Google AI, DeepMind, AWS ML Blog, HuggingFace 等