一句话：提出自编码信息系统概念：系统在运行时自主生成、测试并重部署源代码，以动态适应结构和行为。
本文是一篇扩展摘要，提出 agentic AI 领域的新研究方向——自编码信息系统（self-coding information systems）。此类系统能够在运行时自主生成、测试并（重新）部署源代码，从而动态调整自身结构或行为，缩短新功能上市时间。作者阐述了研究动机，给出了自编码信息系统的形式化定义，讨论了该技术的预期影响，并指出若干潜在研究方向。该文属于立场/展望类工作，未报告实现或实验评估，核心贡献在于问题定义与研究议程。
In this extended abstract, we propose a novel research topic in the field of agentic AI, which we refer to as self-coding information systems. These systems will be able to dynamically adapt their structure or behavior by generating, testing, and (re)deploying their source code autonomously at runtime, reducing the time to market of new features. Here we motivate the topic, provide a formal definition of self-coding information systems, discuss some expected impacts of the new technology, and indicate potential research directions.