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.
Guidelines for GPAI Models: EU Definitions and Requirements
The Commission sets a computational threshold of 10²³ FLOPs for GPAI models, while models with 10²⁵ FLOPs or higher are classified as systemic risk systems requiring comprehensive risk assessments and notification within two weeks, with providers obligated to maintain documentation, publish training data summaries, and
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.
