In July 2025, a developer's Claude Code instance hit a recursion loop and burned through 1.67 billion tokens in 5 hours, generating an estimated $16,000 to $50,000 in API charges before anyone noticed. The agent did not crash. It did not throw an error. It just kept calling tools, getting confused, calling more tools, and silently accumulating cost. Old software crashes. LLM agents spend. This is
I got tired of sitting on a Rolex waitlist with zero information. No position, no ETA, no way to know if my wait was normal or if I was getting strung along. When I went looking for data, all I found was Reddit threads with hundreds of anecdotes buried in noise. So I built unghosted.io, a structured tracker where collectors submit their wait times anonymously. 550+ reports from 62 countries in the
You're in another app and there's a timer counting down at the top of your phone. You lock the screen and the same timer is sitting there. You swipe down to the Notification Center and it's there too, still ticking. It looks like a notification, but a notification can't tick. That's a Live Activity. It looks like three different surfaces (Dynamic Island, lock-screen banner, Notification Center ent
I kept watching the same thing happen. What I Built It's a 3D interactive sales simulator. I call it a flight simulator for software — except instead of flying a plane, you're walking a non-technical client through the risk inside their own infrastructure. The Map You feed it a simple JSON file describing your client's tech stack. It reads it and instantly draws a floating, 3D web of nodes — s
I Built a Minecraft Mod Where Every Sword is an AWS Service — Here's How We Coded It with AI What happens when a cloud engineer picks up Minecraft modding for the first time? You get swords that invoke Lambda functions, store items in S3 buckets, and auto-scale damage like EC2 instances. Today we're going deep into how I built AWS Swords — a Fabric mod for Minecraft 1.21.1 where every weapon is
I finished an English series on the way I think ordinary people can start using AI for real work. The point is not to become an AI expert first. The point is to have one place where you can say what you want, give the tool access to the right folder, and check the result. Anything important still needs a human pause: publishing, deleting, paying, or authorizing. My preferred starting point is simp
The Model Context Protocol (MCP) has become the default standard for connecting AI agents to external tools and APIs. Governed by the Linux Foundation since early 2025 and adopted by OpenAI, Anthropic, Microsoft, and Vercel, MCP is the USB-C port of the AI ecosystem — one protocol that lets any LLM application talk to any tool server. But there's a gap between reading the spec and building somethi
When I started auto-publishing YouTube videos from GitHub Actions, the default thumbnails were whatever frame YouTube chose to freeze on. Usually a half-rendered slide or a moment of black. They looked unprofessional enough that I fixed it before worrying about anything else. The result is thumbnail.sh — 51 lines of bash that run as step 4a in my publish pipeline, generate a 1280×720 JPEG from the