AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Evaluating mainstream coding agents on DEPBENCH, a benchmark consisting of 203 real-world dependency-upgrade tasks across five package ecosystems spanning five language communities, each involving hidden code-level changes that require source code adaptation.
A systematic study of observability in agent-generated systems reveals a consistent gap between diagnostic semantics at the source level and fault signals at runtime, suggesting that current evaluations focusing primarily on functional correctness may overlook observability as an important dimension of practical softwa...
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