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,…
421 Pages. Free. No Catch. This Google Engineer Just Dropped the Agentic AI Curriculum the Field Has Been Missing. There’s a certain kind of technical resource that only shows up a few times a decade. The kind that was clearly written for internal use, then someone decided the world should have it. This week, a…
The Discipline Nobody Talks About When Building AI Agents There is a specific kind of technical debt that only shows up in agent systems, and it doesn’t announce itself. It accumulates quietly, one reasonable decision at a time, until the day you’re staring at a system diagram that looks like a subway map and realizing…
TERAFAB: SpaceX and Tesla Just Bet That Compute Supply Is the War Worth Winning Most announcements from Elon Musk’s orbit land somewhere between ambitious and absurd. TERAFAB is different. On the night of March 21, 2026, Musk posted to X: “Formal announcement of the TERAFAB project, which will be done jointly by SpaceX and Tesla,…
The Discipline Nobody Teaches Every engineer I know is tracking the wrong thing. Lines of code shipped. Features deployed. Model latency shaved by another 12 milliseconds. These are easy to measure, which is probably why we measure them. But the skill that actually separates good AI engineers from great ones is almost impossible to put…
Andrej Karpathy Just Described a Phase Shift. Most Engineers Aren’t Ready for What Comes Next. If you follow AI at all, you probably saw Andrej Karpathy’s appearance on the No Priors podcast this week with Sarah Guo. If you haven’t listened to it yet, you should. Not because it covers new product announcements or benchmark…
The Speed Trap: Why AI’s Real Value Has Nothing to Do With Typing Faster Most engineers I know are chasing the wrong metric right now. They’re asking how to use AI tools faster, how to generate more code per hour, how to shorten the time between prompt and output. That framing is wrong, and I…
The $500K Engineer Who Isn’t Burning Tokens Is Leaving Money on the Table There’s a quote circulating right now that stopped me mid-scroll: “If your $500K engineer isn’t burning at least $250K in tokens, something is wrong.” Sunny Madra posted it this week and the reactions were split almost perfectly between people who got it…
The $500K Engineer and the $250K Token Bill “If your $500K engineer isn’t burning at least $250K in tokens, something is wrong.” That quote, posted by Sunny Madra on X earlier this week, has been living rent-free in my head. My first reaction was to roll my eyes. My second reaction was to realize I…
Evals First. Everything Else Second. Most engineers I know treat evals like cleanup work. Something you wire up after the “real” engineering is done, right before you push to production and hope nobody notices the weird edge cases. I have done this. You have probably done this too. It is the wrong order of operations,…
A 400 Billion Parameter Model on a MacBook. Let That Sink In. I’ve been doing AI/ML work long enough to remember when running a 7B model locally felt like a party trick. This week, someone ran a 397 billion parameter model on a laptop. Not a workstation. Not a rack-mounted inference server. A MacBook with…
