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
Recently, I migrated our project from Husky to Lefthook — and the difference was immediately noticeable. 🤔 Why Lefthook? A few key reasons: ⚡ Written in Go → extremely fast execution 🔀 Parallel execution → run tasks concurrently instead of sequentially 🧩 Simple & powerful config → less boilerplate, easier to maintain 🧠 Smarter workflow control → flexible hook-level optimization ⸻ ⏱️ Real impa
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
The Reality Check ClickHouse just dropped a study that every executive should read: LLMs are great at some things, but basing your infrastructure on them? Too much, too soon. They tested five leading models (Claude Sonnet 4, GPT-o3, GPT-4.1, Gemini 2.5 Pro, and the newly released GPT-5) against real observability scenarios. The verdict? We're nowhere near the autonomous operations future Silicon
The 800 Million Weekly ChatGPT Users Who Are Just Getting Started Here's something that should excite everyone: ChatGPT just hit 800 million weekly active users. That's one in ten humans on Earth. Adoption faster than the world wide web. 18 billion messages every single week. And the really wild part: we haven't even scratched the surface of what's possible. OpenAI's latest research shows that ~
I’m becoming more convinced that LLMs are moving toward the same structure as payment networks. The models will be incredibly important. But the largest value will not be captured by the raw model layer alone. It will be captured by the layers above it: routing, evals, RAG, MCP, memory, orchestration, agentic workflows, vertical applications, and trust infrastructure. As a founder and developer, t