Code2UML: Agentic LLMs with context engineering for scalable software visualization 事件

Code2UML: Agentic LLMs with context engineering for scalable software visualization arXiv:2605.24453v1 Announce Type: cross Abstract: Large Language Model (LLM)-based code analysis tools are adopted to automate software documentation tasks. However, the scalability of these approaches to real codebases, where Intermediate Representations (IR) exceed LLM context limits, remains underexplored. This paper introduces an agentic architecture with context engineering for automated UML diagram generat