The Wrong Question About AI Agents Most developers I talk to are still asking “which model should I use?” It’s the wrong starting point. The model is almost irrelevant if the system around it is broken. I’ve watched teams spend weeks benchmarking GPT-4o against Claude 3.7 against Gemini, then hand the winner a vague task…
One Guy, One MacBook, $18,800 a Month I have seen a lot of “AI agency” pitches in the past two years. Most of them are courses dressed up as case studies. This one is different. A solo operator, no employees, no office, no sales team, is pulling $18,800 a month selling websites to local businesses….
The 100-Agent Problem Nobody Wants to Talk About Boris Cherny, the creator of Claude Code, said something at a recent Sequoia AI session that stopped me mid-scroll. “100% of my code is written by Claude Code. I run around 100 agents at one time.” He’s an Anthropic engineer reportedly compensated at $750K per year. He…
Anthropic Just Published an Operational Manual for the Agent-First Company I’ve read a lot of AI research papers, product announcements, and thought leadership posts over the past few years. Most of them describe a future. Anthropic’s Claude Code best practices document describes a present. That distinction matters more than people are giving it credit for….
Stop Building Agents. Start Packaging Knowledge. I’ve been thinking about something Barry Zhang and Mahesh Murag said at the AI Engineer Code Summit, and I can’t shake it. Sixteen minutes. Two Anthropic engineers. One idea that cuts through most of the noise in agentic AI right now. “Stop building agents. Build Skills instead.” Most people…
AI agents forget everything. Every session, every time, no matter how capable the model. That’s not a model problem. It’s an architecture problem, and most people are solving it with the wrong tool. I’ve been wiring Microsoft GraphRAG into my OpenClaw agent as a persistent memory layer, and the difference in how the agent actually…
I gave my AI assistant a memory. Here’s what it knew about me. For months, my AI assistant woke up every session with no idea what we’d done the day before. I’d ask about a project we’d built together and get a polite “I’m not sure what you’re referring to.” We’d spent hours on it….
The Shareable Unit Just Changed Something Andrej Karpathy posted last weekend has been sitting with me, and I think most of the commentary around it missed the actual point. He shared a gist describing how he’s been using LLMs to build personal knowledge bases, and that part got plenty of attention. But the line that…
The Failure Mode Nobody Is Logging Most production AI systems don’t fail loudly. They don’t throw exceptions, trigger alerts, or produce obviously wrong outputs. They drift. Quietly, confidently, step by step, until you’re ten downstream tasks deep and the original intent is completely unrecognizable. I’ve been running multi-agent pipelines for over a year, and this…
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….
