One Person. A Laptop. A God’s-Eye View of a War. Last weekend, a developer named Bilawal Sidhu posted something that stopped me mid-scroll. He had rebuilt a full 24-hour, 4D replay of Operation Epic Fury, the Iran strike campaign, inside WorldView. No defense contract. No team of analysts. No proprietary satellite feeds. Just an AI…
The Seams Are Where Your Agent Breaks I’ve shipped enough AI agents to know where the bodies are buried. And they’re almost never where you expect them. Everyone obsesses over the reasoning loop. Prompt engineering, retrieval quality, context window strategy, model selection. All real concerns. All worth the time. But in my experience, the 90%…
Karpathy’s Multi-Agent Research Org: The Parallelism Works, the Science Doesn’t I’ve been waiting for someone credible to actually run this experiment instead of just theorizing about it. Andrej Karpathy did. And the results are more interesting than either the optimists or the skeptics predicted. The Setup Eight agents. Four Claude, four Codex. Each agent gets…
The Prompt Engineering Bubble Is Deflating I’ve watched a lot of skills go from “career differentiator” to “table stakes” to “irrelevant” in this industry. Prompt engineering is moving through that cycle faster than almost anything I’ve seen. And the people who built their identity around it are going to have a rough 18 months. Let…
Claude Skills Are Not Prompt Engineering. Stop Treating Them That Way. I’ve spent the last year building agents, and I keep watching developers make the same mistake. They discover Claude Skills, read the YAML frontmatter, see the instruction blocks, and immediately think: “Oh, this is just a fancier way to write a system prompt.” Then…
The Context Window Is Your Architecture Most engineers treat agents the way they treat prompts. Write the instructions, run the loop, fix what breaks, repeat. I did this too. I spent weeks tweaking system prompts, adding more specific language, stacking examples, and wondering why my agents kept doing something subtly wrong on step four of…
Anthropic Just Formalized What Good Agent Builders Already Knew Anthropic published a 30-page guide on building Skills for Claude, and I think the framing matters more than the technical details inside it. They’re not calling this prompt engineering. They’re calling it execution design. That shift in language is deliberate, and it reflects something real about…
Thinking Is the Bottleneck. Not the Model. There is a conversation happening right now in almost every engineering team I know, and it goes something like this: “Are we on Claude or GPT-4o? Should we switch to Gemini? What about the new Llama release?” The debate sounds productive. It feels like due diligence. It is…
The Capability Cliff Is Steeper Than Anyone Expected Three months. That’s how long it took for Anthropic’s best model to become the free tier. Claude Sonnet 4.6 just landed, and the headline number that stopped me cold is this: users now prefer it over Opus 4.5 for coding tasks 59% of the time. Opus 4.5…
Vera Rubin Changes the Math, Not Just the Hardware I’ve been sitting with Nvidia’s Vera Rubin announcement for a few days now, and the number I can’t stop thinking about isn’t the one everyone leads with. It’s not the 10x performance-per-watt improvement over Blackwell. It’s the inference token cost. Because that one doesn’t just improve…
