Starting Strong, Finishing AI

Ah, the modern tech hero's journey: "I wrote a prompt, AI generated an API, and now I'm basically the next unicorn founder." Sure buddy, and I once wrote a regex that worked on the first try – doesn't mean I'm Jeff Bezos. The gap between "my AI prompt worked once" and "billion-dollar company" is roughly the same as the gap between "I installed Linux" and "I now run NASA." Those compute bills will hit harder than the reality that prompt engineering isn't the same as actually engineering. Ten years in the trenches and I've learned one truth: the harder someone humble-brags about how easy something was, the more spectacularly it'll explode in production.

Content You're a bunch of node.js hipsters that just HAVE to install everything you read on Hacker News! But Docker allows us to run our applications anywhere! Do you hear yourself? Why do we need docker if we're running a VM? A container inside a container!!!

You know what's wild? We went from "don't copy code from Stack Overflow without understanding it" to literally having an AI pair programmer that we treat like an intern we're perpetually annoyed with. The relationship developers have with Copilot is basically: "Hey buddy, you're amazing and can do anything!" followed immediately by "Now shut up and stop suggesting I import the entire lodash library for a single array operation." It's the tech equivalent of asking your smart friend for homework help and then telling them their handwriting sucks. We praise it when it autocompletes our boilerplate, then rage-dismiss its suggestions when it tries to be helpful with our actual logic. The duality of modern development: simultaneously grateful for and annoyed by the robot that writes half our code.

Remember when we used to explain our bugs to rubber ducks? Now we just bark orders at AI models to fix our spaghetti code. The evolution from "here's what I've tried" to "just fix it" perfectly captures our descent into tech laziness. Soon we'll just grunt and expect the AI to read our minds. Progress, I guess? At least the duck never judged our variable naming conventions.

So Anthropic's CEO thinks we'll hit peak AI code generation by 2026, but someone's already done the math on what comes after the hype cycle. Turns out when AI writes 100% of the code, we'll need humans again—not to write code, but to decipher whatever eldritch horror the models have conjured up. Senior engineers will become glorified janitors with 10x salaries, which honestly sounds about right given how much we already get paid to fix other people's code. The future is just the present with extra steps and better excuses for technical debt.

Samsung really looked at the AI hype train and said "hold my semiconductors." While everyone's busy building massive data centers that consume enough power to light up a small country, Samsung's just casually standing there with Micron like "yeah, we make the memory chips that make all this possible." The real winners of the AI gold rush? Not the prospectors—it's the people selling the shovels. Or in this case, the people selling the RAM and storage that keeps those GPU clusters from turning into expensive paperweights. Classic tech ecosystem moment: the infrastructure providers quietly printing money while everyone else fights over who has the best LLM.