Practical summary of the latest updates around Running Agents on Kubernetes with Agent Sandbox, with implications for engineering teams.

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Practical summary of the latest updates around coSTAR: How We Ship AI Agents at Databricks Fast, Without Breaking Things - Databricks, with implications for engineering teams.

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Practical summary of the latest updates around How we monitor internal coding agents for misalignment, with implications for engineering teams.

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Practical summary of the latest updates around A rogue AI led to a serious security incident at Meta - The Verge, with implications for engineering teams.

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Learn how to evaluate AI agents systematically using Strands Evals, a practical guide that covers core concepts, built-in evaluators, multi-turn simulation capabilities, and integration approaches.

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Learn how to deploy production generative AI models at the edge using AWS, specifically leveraging Amazon Elastic Kubernetes Service (Amazon EKS) hybrid nodes and NVIDIA’s DGX system. This post covers the process of setting up a robust infrastructure for edge computing.

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Built on Deep Agents and LangGraph, Open SWE provides core architectural components for internal coding agents.

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Practical summary of the latest updates around Nvidia’s agentic AI stack is the first major platform to ship with security at launch, but governance gaps remain - VentureBeat, with implications for engineering teams.

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LangChain, a company dedicated to agent engineering, has announced an enterprise-grade AI platform built on NVIDIA technology. This integration allows enterprises to build, deploy, and monitor production-grade agents at scale.

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Practical summary of the latest updates around Using inexpensive MicroLEDs, Microsoft networking innovation aims to make datacenters more efficient - Microsoft Source, with implications for engineering teams.

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