AI RESEARCH
Code2UML: Agentic LLMs with context engineering for scalable software visualization
arXiv CS.AI
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ArXi:2605.24453v1 Announce Type: cross 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