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How We Built Race Radio Control in a Week With Claude Code and Airia

Last week, Chris Porter and I entered the Airia F1 Atlassian Williams Racing virtual hackathon as team JoPoCo (Jones + Porter + Co). We had seven days to build an AI-powered fan experience for remote motorsport viewers. What we shipped was Race Radio Control: a second-screen companion that lets fans tune into four AI-powered radio feeds — Carlos Sainz, Alex Albon, team principal James Vowles, and stats host Max Folds — all grounded in live telemetry data.

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 ACM Certificate Validity Change: 198-Day Certificates & the Road to 47 Days

On 18 February 2026, AWS quietly updated ACM to reduce the default validity of public certificates from 395 days to 198 days. If you’re running anything on AWS that terminates TLS — CloudFront distributions, Application Load Balancers, API Gateway endpoints, Elastic Beanstalk — this affects you.

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?

AWS Bedrock Open-Weight Models in Sydney: 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.

AWS EC2 Nested Virtualization: Run KVM & Hyper-V Without Bare Metal

If you’ve ever needed to run a hypervisor inside an EC2 instance, you know the pain. For years, the answer from AWS was simple: buy a bare metal instance. That meant paying for an i3.metal or m5.metal just to get access to hardware virtualisation extensions. Need to test a Firecracker microVM setup? Bare metal. Want to run KVM for a security sandbox? Bare metal. Running nested Hyper-V for a Windows lab? You guessed it.

Building Your Own AI Agent Stack: Lessons 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.

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.

The Inference Tax Nobody Budgeted For: Why AI Costs Keep Rising

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.