AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper presents a comprehensive catalogue of 57 test-specific refactoring types, out of which only 33 were previously documented in the literature, using a mixed-method approach grounded on three sources of data.
An industry experience report conducted on Red Hat OpenShift to explore how LLMs can be operationalized in real-world Kubernetes-based environments and integrates predictive machine learning models with LLM agents through tool-augmented reasoning, highlighting novel methods to automate IT tasks, enhance observability, and reduce operator burden.
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