智能体架构中的决策模型：从生产到智能体技能
原标题：Presentation: Decision Models in Agentic Architectures: From Production to Agent Skills
AI 摘要
Aletyx 联合创始人兼 CEO Alex Porcelli 在演讲中回顾了过去一年 AI 对软件开发方式的改变，指出自己已从手写代码转向与智能体交互。他引用 Mark Cuban 的观点，认为企业 AI 的最大挑战在于无法保证同一问题每次得到相同答案，并强调领域知识、可复现性、可解释性和治理在高风险决策中的重要性。他结合自己 20 年做决策模型的经验，主张将策略与规则的可执行能力引入智能体架构。
正文节选
Transcript Alex Porcelli: I want to start this and take a moment to reflect what we as a community of IT have been through the last 12 months. Actually, even less than 12 months. If you had asked me my opinions about AI in the fall last year, it would be completely different to what it is today. Back in the days, not long ago of course, I was using AI, being productive using AI, but it was mostly doing summarization, content writing, scripts, tests, configuration files. I used to be proud, "But