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Conference Paper An LLM-driven Framework for Dynamic Infrastructure as Code Generation
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Authors
Junhee Lee, SungJoo Kang, In-Young Ko
Issue Date
2024-12
Citation
International Middleware Conference (Middleware) 2024, pp.1-2
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1145/3704440.3704778
Abstract
This paper proposes a Large Language Model (LLM)-driven framework for generation of Infrastructure as Code (IaC) in dynamic environments. While IaC simplifies infrastructure management, static templates are often inadequate. Leveraging recent LLM advancements, we design and integrate requirements refinement, retrieval-augmented generation (RAG), and code ensemble methods to improve IaC code accuracy. Preliminary results show that, despite challenges(syntax errors and hallucinations), manual adjustments enable executable code, suggesting potential for dynamic generation. CCS Concepts: • Software and its engineering → Automatic programming.
KSP Keywords
Dynamic Environment, Ensemble method, Infrastructure as Code, Infrastructure management, Language Model, automatic programming, code generation, preliminary results, syntax errors