我的8个代理写出了完美的组件——但没有一个能正常工作

Eight AI agents were launched in parallel to build a full-stack application on AWS, covering infrastructure stacks, a React frontend, and a Java backend. Each agent was responsible for a specific component and delivered clean, compiling code. The CDK type-checked, the Java backend adhered to Spring Boot conventions, and the React UI appeared visually appealing. However, upon attempting to integrate these components, bugs were encountered at every boundary. The issue stemmed from the lack of coordination among the parallel AI agents on shared contracts, such as column names, URL paths, parameter formats, or identifiers. 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 go.