Ask HN：你是什么时候从 AI 自主循环转向更简单的确定性系统的？
1 分•作者: laxmena•2 天前
行业正日益向复杂的、自主的智能体循环和反馈链发展。 显然，这带来了显著的延迟、不确定性、低准确性和高成本。
我希望听到工程师们的经验，他们选择了相反的方向。
在你们的产品生命周期中，哪个阶段你们认为智能体方法不适合这项工作？
是什么具体的失效模式（可靠性、成本、延迟、可维护性）促使你们用更具确定性的系统/流程来替换智能体循环？
查看原文
Industry is increasingly moving towards complex, autonomous agentic loops and feedback chains. They obviously comes with significant latency, non-determinism, low-accuracy and cost.<p>I'm interested in hearing from engineers who have moved in the opposite direction.<p>At what point in your product lifecycle did you decide that agentic approach was wrong tool for the job?<p>What was the specific failure mode (reliability, cost, latency, maintainability) pushed you to replace agentic loop with more deterministic system/pipeline?