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Is Infrastructure as Code the Next Abstraction to Fall?

I’ve been staring at a Terraform module for the last ten minutes, and I can’t stop thinking about a question that would have been absurd two years ago: why am I writing this?

Building Your Own AI Agent Stack. What I Learned From 10 Open Source Projects

I spent the last week falling down a rabbit hole. Not the productive kind where you emerge with a working solution and a sense of accomplishment. The kind where you save ten GitHub repos in a single week and then sit back and realise they’re all telling you the same thing.

Open-Weight Models Just Landed in Sydney: What This Means for Australian AI Sovereignty

If you’ve been building AI workloads in Australia, you’ve felt the frustration. The models you want to use are sitting in US regions. Your compliance team is asking where inference data is being processed. And every API call is adding 180-200ms of network latency before the model even starts thinking. Run a five-step agentic workflow and you’re adding a full second of pure network overhead before any model computation happens.

Build vs. Buy Just Flipped. Most Teams Haven't Noticed Yet.

The Decision You’ve Been Making on Autopilot Every AWS practitioner has a version of this conversation at least once a quarter. Someone on the team suggests building something custom. Someone else points out there’s a managed service or SaaS product that does it already. The room does the mental maths: engineering time, ongoing maintenance, opportunity cost. Nine times out of ten, you buy.

Your Inference Bill Is Going Up. Even as Costs Go Down.

The Number That Should Worry You AWS raised GPU Capacity Block prices by 15% on a Saturday in January. No blog post. No announcement. Just a quiet update to the pricing page that said prices were “scheduled to be updated” without mentioning which direction.

The Real Skill Isn't Coding Anymore. It's Describing What You Want.

You’ve Got the Tools. So Why Are You Still Slow? If you’re building on AWS right now, you have access to more managed services, more abstraction layers, and more AI-assisted tooling than at any point in computing history. CDK, SAM, Amplify, Bedrock, Kiro, Claude Code. The list keeps growing.

The Friction Was the Point

My dad had a camera. Not a phone with a camera. A camera. A proper one with a roll of film that gave you 24 shots, maybe 36 if you were feeling extravagant.

Beyond Vibe Coding: The Renaissance Developer Framework for Infrastructure Leaders

I watched Werner Vogels deliver what he’s calling his final AWS re:Invent keynote, and it struck me that he wasn’t talking about new services or feature announcements. Instead, he spent an hour articulating why the tools matter less than the person holding them. After 14 years of keynotes, Amazon’s CTO decided to hand the microphone to younger voices—but not before leaving infrastructure leaders and architects with something more valuable than a roadmap: a framework for how to think about engineering in the AI era.

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.

Multi-Agent Orchestration with Claude Code: When AI Teams Beat Solo Acts

Working with a single AI assistant on complex projects is like having one engineer handle an entire software delivery pipeline. Possible? Sure. Optimal? Not even close.

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.

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.