Engineering

You’ve been there. You and your AI coding buddy are in the zone. It’s feeding you perfect snippets of code, it understands your weirdly named variables, it’s practically reading your mind. You’ve built half a dozen functions, and the project is humming along. Then you close the window. You come back an hour later, open a new chat, and ask it to build the next piece of the puzzle. The AI stares back at you with the digital equivalent of a blank expression. It has no idea what your project is, what a user_auth_service is, or why you keep muttering about the global_config.json. It has, for all intents and purposes, become incredibly dumb. ...

You know that moment when your computer is gaslighting you? When you run ls inside a Docker container, see your executable sitting there with perfect permissions, but when you try to run it, the shell just shrugs and says “not found”? Welcome to my Saturday morning. The Setup: A Simple Go + TailwindCSS Build I was working on a straightforward Dockerfile for a Go web app that uses TailwindCSS. Nothing fancy—just download the tailwindcss binary, make it executable, run it to process some CSS, and move on with life. ...

Factorio is more than a game; it’s a powerful tool for training your engineering intuition. Discover how it mirrors the challenges of software development and why you should be playing it.

My Notes after watching Derek Muller’s talk on AI in education. As someone working in EdTech, especially focusing on what we can do with LLMs, you hear it constantly: AI is going to “revolutionize” education. Personalized tutors, instant feedback, access like never before – the whole pitch. But I caught a talk recently by Derek Muller – you know, the Veritasium guy – and he offered this really grounded take that hit home for me. It’s making me rethink the hype and actually consider the cognitive science underneath it all. ...

Ever tried Elevator Saga? It’s that addictive JavaScript challenge where you control elevators to transport impatient virtual humans. Sure, you could spend hours crafting the perfect algorithm… or you could do what I did and let AI handle the heavy lifting. Tools Claude 3.5: Model I prefer for generating code and specifications. It’s like having a coding buddy who never sleeps. Whisper: For transcribing my ramblings into something resembling a coherent spec. LLM: A command-line tool to interact with AI models like Claude and generate code from my documentation and spec. My Lazy Developer Workflow I built a four-step AI pipeline that took me from “what even is an elevator API?” to passing the first four levels with minimal effort: ...