Some Things Never Change

BEHOLD THE FALL OF THE MIGHTY! 💀 Once upon a time, AI engineers were LITERAL GODS sculpting algorithms with their bare hands and rippling brain muscles. They built CNNs! They optimized random forests! They wielded LSTMs like magical swords! Fast forward to today's "AI engineers" - pathetic shadows of their former glory, reduced to keyboard-mashing monkeys typing "Hey ChatGPT, pretty please classify this for me?" or the absolute HORROR of accidentally exposing API keys because who needs security anyway?! The transformation from mathematical demigods to glorified prompt babysitters is the most tragic downfall since Icarus flew too close to the sun. Pour one out for actual machine learning knowledge - gone but not forgotten! 🪦

Formal Bugs Bunny just murdered an entire generation of developers who can't code without their AI bestie. HTTP 429 is the digital equivalent of "sorry, you've asked for too much help today." The irony of wishing "vibe coders" a rate limit error is pure evil genius – like watching someone's IDE crash right before a demo. Those who actually know how to solve problems without pasting entire error messages into ChatGPT are sitting back with popcorn, watching the chaos unfold.

The tech industry's newest identity crisis captured in two faces. On the left, "Prompt Engineer" looks appropriately concerned about their job title that basically means "I'm really good at asking ChatGPT nicely." On the right, "Sloperator" is giving that smug look of someone who just realized they can combine "SRE" and "DevOps" into something even more pretentious. For context: A "sloperator" is the lovechild of a sysadmin, a developer, and an operations engineer who's too cool for traditional labels. They probably have kubectl aliased to 'k' and think YAML is a personality trait. Both roles are real, both sound made up, and both will be replaced by something even more ridiculous next year. Remember when we were just "programmers"? Simpler times.

Ah, the modern developer's workflow. Empty try block, followed by a catch that just calls OpenAI to fix whatever broke. Why debug your own code when you can outsource your incompetence to an AI? Next up: a ChatGPT plugin that automatically adds this snippet to all your repositories. Efficiency through surrender.

GitHub Copilot silently judging your spaghetti code while simultaneously ingesting it for "training purposes." The awkward bat face is basically Copilot's internal reaction when it sees your proprietary algorithms and realizes they're worth exactly $0.00 on the black market. Turns out your paranoia about AI stealing company secrets was justified, but for all the wrong reasons.

Running Postgres at scale for 800 million users while conveniently forgetting to contribute back to the open-source project that's literally holding your entire infrastructure together? Classic move. PostgreSQL is one of those legendary open-source databases that powers half the internet—from Instagram to Spotify—yet somehow companies rake in billions while the maintainers survive on coffee and GitHub stars. The goose's awkward retreat is basically every tech company when you ask about their open-source contributions. They'll spend $50 million on GPU clusters for their "revolutionary AI chatbot" but can't spare $10k for the database that's been rock-solid since before some of their engineers were born. The PostgreSQL team literally enables trillion-dollar valuations and gets... what, a shoutout in the docs? Fun fact: PostgreSQL doesn't even have a corporate sponsor like MySQL (Oracle) or MongoDB. It's maintained by a volunteer community and the PostgreSQL Global Development Group. So yeah, maybe toss them a few bucks between your next GPU shipment.