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arXiv · 2603.23763

AgenticNet: Utilizing AI Coding Agents To Create Hybrid Network Experiments

Majd Latah·Kubra Kalkan
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Abstract

Traditional network experiments focus on validation through either simulation or emulation. Each approach has its own advantages and limitations. In this work, we present a new tool for next-generation network experiments created through Artificial Intelligence (AI) coding agents. This tool facilitates hybrid network experimentation through simulation and emulation capabilities. The tool supports three main operation modes: pure simulation, pure emulation, and hybrid mode. AgenticNet provides a more flexible approach to creating experiments for cases that may require a combination of simulation and emulation. In addition, AgenticNet supports rapid development through AI agents. We experimentally evaluate the tool and present an approach to verify the generated code.

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Majd Latah, Kubra Kalkan. 2026-08-30. AgenticNet: Utilizing AI Coding Agents To Create Hybrid Network Experiments. https://arxiv.org/abs/2603.23763

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