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.
Amazon Bedrock AgentCore: Versioned Test Datasets for Reliable Agent Evaluation
Amazon Bedrock AgentCore introduces versioned test datasets that enable stable evaluation of agents, with immutable versions for CI/CD gates and draft mode for development, providing ground truth for verifiable measurements instead of subjective assessments—ideal for inner-loop iteration and regression control.
Evaluating Deep Agents with LangSmith on AWS
AWS and LangChain present a new guide showing how developers can systematically evaluate and monitor AI agents, with LangSmith on AWS, Amazon Nova 2 Lite, and structured evaluation patterns significantly improving the reliability of complex multi-step agents from development through production.
