Three Hours vs. Two Minutes I’ve been building ML systems long enough to have opinions about most things. Distributed training, gradient accumulation bugs, flaky data pipelines. I’ve seen enough failure modes that I stopped being surprised by them. Then I spent three hours staring at a distributed training failure last month and came up completely…
One Person. One Dog. One mRNA Vaccine. I’ve been sitting with this story for a day and I can’t stop thinking about it. Paul Conyngham’s dog Rosie was diagnosed with cancer after her symptoms were missed for roughly 11 months. By the time anyone caught it, the cancer had progressed badly. Paul went through the…
Most AI agents are blind. They see screenshots. They guess at selectors. They retry five times when a button moves two pixels. That is not a browser. That is a blindfolded person poking at a touchscreen. The dev-browser approach changes the mental model entirely. Instead of giving an AI agent a camera pointed at Chrome,…
Claude Code Multi-Agent Setup: What Solo Developers Are Actually Unlocking I’ve watched coding assistants get pitched as productivity tools for two years now. Smarter autocomplete. Better suggestions. Faster boilerplate. The framing has been consistent, and honestly, it’s been mostly accurate. Until now. What people are configuring with Claude Code’s multi-agent architecture is something genuinely different….
The Job Is Not the Checklist Jensen Huang said something recently that I keep coming back to. Not because it was surprising, but because of how little softening was in it. “If your job is the task, then you’re very highly going to be disrupted.” Not might be. Very highly going to be. That phrasing…
Physical AI Is About to Eat the Conversation We’ve Been Having About Software Everyone in my world is obsessed with reasoning models, agents, and context windows. Fair enough. The software AI story has been genuinely wild. But I think we’re about to watch the center of gravity shift, and the new video Elon posted this…
Your Dev Environment Is Not a Vault I have watched AI engineers obsess over model security, prompt injection defenses, and output filtering while their local machines sit wide open. The LiteLLM supply chain attack from March 2026 is the clearest possible illustration of where the real risk actually lives, and most of the people I…
The Supply Chain Attack Nobody Is Talking About Enough Everyone is watching Optimus videos this week. I get it. The robot stuff is genuinely impressive. But I keep coming back to something far more unsettling, something that directly affects every team shipping AI products right now. TeamPCP just ran a multi-stage supply chain attack across…
Speed Is Not a Strategy: Why Fast AI Development Is a Liability Dressed Up as a Virtue There is a pattern I keep watching repeat itself in AI engineering, and I am tired of pretending it is not a problem. The teams shipping fastest are often the teams with the least understanding of what they…
The Thread We Were Hanging By Every AI engineer reading this should stop what they are doing and pay attention. This week, Andrej Karpathy flagged one of the most alarming supply chain attacks I have seen target our specific corner of the software world. The litellm package on PyPI was poisoned. A single pip install…
