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Effective Structures for Long-Running AI Agents

The Claude Agent SDK requires an intelligent two-part structure for long-term projects: an initializer agent sets up the environment, while specialized coding agents make incremental progress in each run and leave production-ready artifacts behind – without unnecessary redundancy or unfinished features.

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Demystifying Evaluations of AI Agents

Agent evaluations are more complex than traditional LLM tests because they involve multiple turns, tool usage, and state changes; the key is distinguishing between transcript (recorded interactions) and outcome (actual final state) to create meaningful assessments.

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