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Your AI Agent's Memory is a Liability: Why Flat RAG Fails at Scale

I asked my agent to find a deployment guide. It loaded 47 documents, burned 23,000 tokens, and returned the wrong one.

AWS Just Published an MCP Strategy Guide. Here Is What Actually Matters.

AWS quietly dropped a prescriptive guidance document on MCP strategies this month. If you have spent any time with MCP servers, you know the protocol itself is straightforward. The hard part is everything around it: how many tools to expose, where to host the servers, how to stop an agent from deleting your production database with inherited admin credentials.

Prototype in Hours, Deploy in Production: n8n to AWS Bedrock AgentCore

Your team just got the green light to build an AI agent for customer support escalation. The architect says “CDK and AgentCore.” The PM says “show me something by Friday.”

AWS Config Just Added 30 Resource Types. The Bedrock AgentCore Ones Matter Most.

AWS quietly announced support for 30 new resource types in AWS Config on March 2, 2026. If you’re the kind of person who skims these announcements and moves on, I get it. Most Config resource type expansions are incremental. This one isn’t.

AWS Bedrock AgentCore Policy & Evaluations: AI Agent Governance at Scale

Many organisations are rushing into deploying AI agents with the same enthusiasm they had for serverless in 2016, great technology, terrible operational discipline. The pattern is predictable: build a proof-of-concept that works brilliantly in a demo, deploy it cautiously to production, then discover you have no idea how to govern what it’s actually doing once users interact with it at scale.

LLM Prompt Injection Attacks: Types, Examples & Mitigation Strategies

If you’ve been building with LLMs lately, you’re probably as excited as I am about the possibilities! But let me tell you about something that’s been keeping security folks up at night… prompt injection vulnerabilities.

Building AI-Powered Life Management Systems: The AWS Infrastructure Approach

Daniel Miessler just dropped a fascinating deep-dive into building what he calls a “Personal AI Infrastructure” (PAI) - essentially an AI-powered life management system that handles everything from content creation to security assessments. While his approach uses Claude Code and local tooling, it got me thinking about how we could architect something similar using AWS services.

AWS Bedrock AgentCore Starter Toolkit: Deploy AI Agents in 3 Commands

Let’s be honest. The most exciting part of building an AI agent is the agent itself—the logic, the prompts, the creative problem-solving. The least exciting part? The ceremony. The boilerplate. The tedious dance of wrapping our code in an API, writing a Dockerfile, managing ECR repositories, and wrestling with deployment scripts to get our creation into the cloud.