AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The results of Corr2Cause support a bounded design principle: externalize the latent object that defines the label, constrain its form, and test whether downstream answers use it.
A systematic agentic AI pipeline for generating realistic COBOL programs is proposed, combining specification-driven generation with iterative degradation guided by patterns and complexity targets extracted from real production code.
A novel empirical study targeting three domain- specific languages for transformation rules, namely Comby, GritQL, and Ast-Grep, which shows great potential for LLMs to generate sound, correct, generalizable, and reusable rules.
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