📄 中文摘要
在 Java 开发中，构建 AI 驱动功能时，开发环境与生产环境之间的业务规则差异常常导致紧张局面。以一个编码助手为例，它建议在进行破坏性操作前验证身份，并引导开发者使用升级逻辑。然而，当代码上线后，运行时行为却未能如预期那样执行。不同服务在处理大额退款时的行为不一致，有的服务会进行身份验证，而有的则不会。此外，情感处理的语气也各不相同，这种不一致性可能影响到用户体验和系统安全性。因此，确保在开发和生产环境中保持一致的行为规范至关重要。
Java 中 AI 的行为工程：从开发到生产的政策执行
📄 English Summary
Behavioral Engineering for AI in Java: Enforcing Policy from Dev to Prod
The article addresses the common challenges faced by Java developers when implementing AI features, particularly the discrepancies in business rules between development and production environments. An example illustrates how a coding assistant suggests implementing guardrails, such as verifying identity before executing destructive actions. However, once the code is deployed, the runtime behavior may not align with the expected enforcement. Different services may handle large refunds inconsistently, with some verifying identity while others do not. Additionally, variations in tone based on sentiment handling can arise, leading to potential impacts on user experience and system security. Ensuring consistent behavioral policies across development and production environments is crucial.