AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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AlignOPSD is introduced, following the principle of aligning supervision before assigning credit, which outperforms both GRPO and StepOPSD across all eight backbone--aggregate-metric comparisons, improving on GRPO by 5.5--8.7 \% and ranking first in six.
Transition-wise Rubric Credit Assignment (TRCA) is proposed, which derives step-level supervision directly from action-induced transitions without learned evaluators or successful anchors for long-horizon tasks with sparse successful anchors.
To the authors' knowledge, JIT-Agent is the first model purpose-built for just-in-time harness generation, establishing harness intelligence as a trainable, transferable, and compounding dimension of agent capability orthogonal to model scaling.
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