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Latest from Amazon Cloud Developers

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Amazon Cloud Developers

Dec 23, 2025 · Artificial Intelligence

Evaluating Agent Quality: A Practical Guide for Agentic AI

This article explains why evaluating AI agents is essential, outlines a multi‑dimensional metric system covering performance, safety, cost and bias, describes common evaluation frameworks such as AgentBoard, AgentBench and τ‑bench, and provides step‑by‑step instructions, example datasets and code for building a robust agent assessment pipeline.

AI agentsLLMTool Call Accuracy

0 likes · 35 min read

Evaluating Agent Quality: A Practical Guide for Agentic AI

Amazon Cloud Developers

Dec 22, 2025 · Information Security

How to Secure Agentic AI: Identity Authentication and Authorization Strategies

This guide analyzes recent Agentic AI security incidents, explains core identity concepts, compares 2‑leg and 3‑leg OAuth flows, highlights the confused‑deputy problem, and presents Amazon Bedrock AgentCore Identity solutions with concrete code and deployment steps to build a trustworthy end‑to‑end authentication and authorization system.

Agentic AIAmazon BedrockAuthorization

0 likes · 28 min read

How to Secure Agentic AI: Identity Authentication and Authorization Strategies

Amazon Cloud Developers

Dec 19, 2025 · Cloud Computing

Deploying MCP Servers for Agentic AI: Local vs Cloud Strategies

This guide explains the Model Context Protocol (MCP) architecture, compares local and remote deployment modes, and provides step‑by‑step instructions for hosting MCP servers on Amazon Bedrock, Lambda, and ECS/Fargate, highlighting performance, security, and operational trade‑offs.

AWSAgentic AILocal vs Remote

0 likes · 25 min read

Deploying MCP Servers for Agentic AI: Local vs Cloud Strategies

Amazon Cloud Developers

Dec 18, 2025 · Artificial Intelligence

Building Agent Memory Modules: A Practical Guide for Next‑Gen Agentic AI

The article examines why large language models lack persistent state, outlines the goals and types of memory for AI agents, details design considerations, presents real‑world scenarios and case studies, and compares open‑source frameworks (Mem0, Letta, LangMem) with AWS Bedrock AgentCore’s managed memory solution.

AWS BedrockAgentic AIContext Engineering

0 likes · 26 min read

Building Agent Memory Modules: A Practical Guide for Next‑Gen Agentic AI

Amazon Cloud Developers

Dec 17, 2025 · Artificial Intelligence

Agentic AI Guide: Choosing the Right Dedicated Sandbox Environment

This article analyzes why modern AI agents need isolated sandbox environments, outlines the two main use cases—code execution and visual interaction—details technical requirements such as easy integration, lifecycle management, and strict security, compares container versus micro‑VM approaches, and provides practical guidance for selecting the best sandbox solution on AWS.

AWSAgentCoreAgentic AI

0 likes · 28 min read

Agentic AI Guide: Choosing the Right Dedicated Sandbox Environment

Amazon Cloud Developers

Dec 16, 2025 · Artificial Intelligence

Why Agent Prototypes Stall and How AgentCore Enables Scalable Enterprise AI

The article explains how the focus of enterprise AI has shifted to autonomous agents, why many prototypes fail to scale due to infrastructure gaps, and how Amazon Bedrock AgentCore combined with Anthropic's Claude provides the model capability and production‑grade services needed for real‑world deployments, illustrated by Cox Automotive and Druva case studies.

AI InfrastructureAgentCoreAgentic AI

0 likes · 20 min read

Why Agent Prototypes Stall and How AgentCore Enables Scalable Enterprise AI

Amazon Cloud Developers

Dec 15, 2025 · Artificial Intelligence

Can AI Handle 90% of Data‑Protection Tasks? Multi‑Agent Assistant Cuts Time 70%

Druva’s multi‑agent AI assistant, built on Amazon Bedrock AgentCore, lets users resolve up to 90% of routine data‑protection tasks via natural‑language chat, shrinking backup‑failure troubleshooting from hours to minutes and delivering a 70% overall efficiency gain, backed by detailed performance evaluations.

AIAgentCoreAmazon Bedrock

0 likes · 16 min read

Can AI Handle 90% of Data‑Protection Tasks? Multi‑Agent Assistant Cuts Time 70%

Amazon Cloud Developers

Dec 12, 2025 · Artificial Intelligence

Breaking Agent Silos: AgentCore Runtime Now Supports the A2A Protocol

Amazon Bedrock AgentCore Runtime has added native support for the Agent‑to‑Agent (A2A) protocol, enabling AI agents built with different frameworks to discover each other, share capabilities, and collaborate securely across cloud and edge environments, with a step‑by‑step guide and a real‑world monitoring use case.

A2A protocolAI agentsAgentCore Runtime

0 likes · 21 min read

Breaking Agent Silos: AgentCore Runtime Now Supports the A2A Protocol

Amazon Cloud Developers

Dec 5, 2025 · Cloud Computing

Hard‑Core Cloud Foundations Power Agentic AI: Highlights from re:Invent 2025 Peter & Dave Keynote

At re:Invent 2025, AWS executives Peter DeSantis and Dave Brown detailed a series of hardware and service innovations—including Graviton5, Trainium3/4, Lambda Managed Instances, Project Mantle, and S3 Vectors—showcasing how security, availability, elasticity, cost, and agility are becoming even more critical for the AI era, with concrete performance benchmarks from customers such as Airbnb, Apple, and Twelve Labs.

AIAWSHardware

0 likes · 14 min read

Hard‑Core Cloud Foundations Power Agentic AI: Highlights from re:Invent 2025 Peter & Dave Keynote

Amazon Cloud Developers

Dec 4, 2025 · Artificial Intelligence

Building Reliable, Efficient AI Agents: Key Takeaways from Swami’s re:Invent 2025 Talk

Swami Sivasubramanian’s re:Invent 2025 keynote outlines a four‑pillar framework—Easy to Build, Efficiency, Trust, Reliability—to move AI agents from POC jail to production, detailing innovations such as Strands Agents SDK, Amazon Nova Act’s 90% reliability, Bedrock’s +66% fine‑tuning accuracy, Episodic Memory, and Reinforcement Fine‑Tuning, all backed by real‑world demos and benchmark results.

AI agentsAWSAgentic AI

0 likes · 16 min read

Building Reliable, Efficient AI Agents: Key Takeaways from Swami’s re:Invent 2025 Talk