AI

Patterns, Distribution, and Troubleshooting Your Claude Skills

This is Part 3 of a three-part series on building skills for Claude. Part 1 covered what skills are and why they matter. Part 2 walked through building and testing your first skill. Now we get into the stuff that separates a toy skill from a production one: proven patterns, distribution mechanics, and how to fix things when they break.

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.

Building Your First Skill: From YAML to Working Workflow

Welcome back to the series. In Part 1, we covered what Claude Code skills are, why they matter, and how they transform Claude from a general-purpose assistant into a specialist that knows your workflows. Now it’s time to build one.

What Are Claude Skills and Why Should You Care?

This is Part 1 of a 3-part series on building skills for Claude. If you’ve ever wished Claude could just remember how you like things done, this series is for you.

Agent Plugins Are the Future. But You Might Be Giving Away Your Best Engineering.

A few weeks ago AWS dropped Agent Plugins, a packaging model that bundles skills, MCP servers, hooks, and reference docs into installable units for AI coding agents. Two commands and your Claude Code or Cursor agent knows how to deploy to AWS, estimate costs, and generate IaC.

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.

From Zero to Knowledge Pipeline: OpenViking on AWS Lightsail

Most people building with AI agents hit the same wall eventually. Your agent forgets things between sessions. RAG retrieval surfaces the wrong chunks. You cannot tell why the agent picked what it picked. And every time you start a new session, you are re-explaining context that should already exist.

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.”

OpenAI Symphony: When AI Agents Run Your Sprint Board

We’ve spent the last two years watching AI coding assistants evolve from glorified autocomplete to genuine collaborators. But there’s been a persistent gap between “AI that helps you code” and “AI that ships features while you sleep.” On March 5, 2026, OpenAI quietly open-sourced the bridge: OpenAI Symphony.

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.

PageIndex Deep Dive: The Good, The Bad, and The Ugly of Vectorless RAG

What if everything we know about RAG is built on a flawed assumption?

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.

I Used Amazon Q CLI to Build a Feature for Amazon Q CLI (And It Was Mind-Bending)

Ever wondered what it’s like to use an AI tool to improve itself? I just spent 2 hours using Amazon Q CLI to build a new feature for Amazon Q CLI, and the experience was genuinely mind-bending.

Personal AI Infrastructure (PAI): How to Build Your Own AI System

Daniel Miessler just published something that made me stop and think: “What are we actually building with all these AI tools?” It’s a question that cuts through the hype and gets to the heart of what matters.

🕹️ AWS-Powered Tetris: Building a Retro Game with Amazon Q and Amplify

There’s something magical about the games we grew up with. The simple mechanics, the blocky graphics, and the maddeningly catchy music are etched into our collective memory. So when AWS announced the Build Games Challenge, a global event to recreate these classics using modern AI tools, I knew I had to jump in.