NixGen: A Framework for Natural Language-Driven NixOS Configuration

Author(s)	Mr. Kinshuk Thapa, Mr. Yash Ghogre, Ms. Divya Hingawe
Country	India
Abstract	This paper introduces NixGen, a generative AI framework that converts high-level user query into low-level declarative NixOS configuration. The system is designed to ease the switch to NixOS by reducing the difficulty involved in writing and understanding the configurations. Experimental evaluation demonstrates the effectiveness of NixGen, achieving 92.3% syntax validity and a CodeBLEU score of 0.72 on complex networking modules. By reducing the gap between intent-driven inputs and precise Nix expressions, NixGen significantly lowers the entry barrier for developers and system administrators, making the advantages of declarative, reproducible, and scalable system configuration more accessible to a wide range of audience.
Keywords	NixOS, declarative configuration, large language models, code generation, natural language processing, system administration, QLoRA, fine-tuning
Field	Computer Applications
Published In	Volume 7, Issue 2, March-April 2026
Published On	2026-04-11

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