AI

The AI Agent Governance Gap: Why Policy and Evaluations Matter More Than the Model

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.

Understanding LLM Prompt Injection: The Security Risk You Can't Ignore

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.

Building Your Personal AI Infrastructure: Beyond Tools to Systems

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.