In the world of 10-digit error codes and countless hours spent troubleshooting, tech support professionals are the unsung heroes who keep our digital lives running smoothly. They are the patient, compassionate frontline warriors who, despite facing a relentless barrage of problems, never shy away from going the extra mile to fix them. There’s no denying,…
Most AI engineers I know are solving the wrong problem. We obsess over model quality. Benchmark scores. Parameter counts. Token speeds. And I get it — these things feel concrete. They are measurable. You can point to a number going up and feel like you made progress. But the actual bottleneck in most production AI…
40.9K Stars and a “Junior Engineer With Poor Taste” — What the Superpowers Repo Is Really Telling Us A GitHub repository called Superpowers just crossed 40.9K stars, and I think it’s one of the more honest signals we’ve gotten about where AI coding agents actually stand right now. Not from a benchmark. Not from a…
Karpathy Just Scored Your Job. Software Engineers Got an 8.5. Here’s What That Actually Means. Andrej Karpathy built a tool that scraped all 342 occupations from the Bureau of Labor Statistics, fed each one to an LLM with a detailed scoring rubric, and produced an AI exposure score from 0 to 10. Software developers landed…
The Parallel Sessions Gap: Why Boris Cherny’s Workflow Reveals the Real AI Productivity Divide There is a version of AI-assisted development where you open one chat window, type a question, wait, copy some code, and close the tab. A lot of developers are still living there. Then there is Boris Cherny’s version, where 10 to…
AI Is Not Your Search Engine. It’s Your Thinking Partner. But Only If You Let It. There’s a loneliness problem in AI development that nobody wants to admit exists. Not the philosophical kind. The practical, 11pm-debugging-an-agentic-workflow kind. Your teammates are asleep. Slack is quiet. Stack Overflow has never seen your exact edge case. You’re staring…
Nvidia Just Changed the Agent Hardware Equation Most open source model releases are variations on a theme. Bigger parameter count, slightly different training mix, a new benchmark to wave around. Nemotron-3 Super 49B… sorry, 120B is not that. This one actually made me stop and think about what teams building internal AI agents are going…
The Skill That Will Separate Good Agentic Engineers From Great Ones Everyone is debating which model to run, which framework to wrap it in, which IDE plugin to install. Those are real decisions. But after watching a lot of agentic projects stall out, I’m convinced the actual bottleneck is upstream of all of them. It’s…
Karpathy Just Scored Every Job in America. I’m Not Sure I Like What I See. There’s a particular kind of clarity that lands like a gut punch. Andrej Karpathy, one of the founding architects of modern deep learning and a former Tesla AI director, just released an open-source project that scores all 342 Bureau of…
Terafab Project: Four Words, Seven Days, and What Musk Might Actually Be Building On Saturday, March 14th, Elon Musk posted five words to X: “Terafab Project launches in 7 days.” No thread. No context. No explainer post. Just a timestamp and a name that, if you’ve been paying attention to where xAI has been heading,…
The Pattern That Actually Makes AI Agents Get Better Over Time Most AI-assisted development workflows have a hidden flaw. The model forgets. You fix a bug, the session ends, and next time you spin up a new context, the agent walks straight into the same class of mistake. You’re not building anything. You’re just running…
