Just Give Us The Extension

The ultimate programmer's Uno reverse card. Asking ChatGPT not to copy code is like asking a chef not to use recipes. The brutal truth is none of us write truly "original" code anymore—we're all just remixing Stack Overflow answers with varying degrees of confidence. At least AI is honest about its plagiarism.

The absolute chaos of these import aliases would make any self-respecting data scientist twitch uncontrollably. It's like deliberately swapping all the labels in someone's meticulously organized spice rack. TensorFlow as "plt"? Pandas as "tf"? This is psychological warfare in Python form. This is the coding equivalent of putting pineapple on pizza and serving it to an Italian chef. The beautiful part is how efficiently it triggers data scientists—just four lines of code to induce a complete mental breakdown. Truly elegant villainy.

The honeymoon phase with AI coding assistants is officially over! Senior developers are throwing their hands up after a few weeks of dealing with hallucinated functions, confidently incorrect syntax, and those magical solutions that somehow break everything else in your codebase. It's like watching your junior dev confidently refactor your entire auth system without understanding what OAuth actually does. Back to Stack Overflow and cryptic documentation we go - at least those don't pretend to understand your project architecture!

Oh honey, the AUDACITY of this meme! 💊 The ultimate ego-check for mediocre coders everywhere! You're clutching your pearls because ChatGPT wrote "Hello World" once, and suddenly you're convinced the robot apocalypse is coming for your job?! PLEASE! 🙄 The truly elite developers are too busy crafting algorithmic masterpieces and solving impossible problems to worry about AI stealing their lunch money. Meanwhile, the copy-paste-from-StackOverflow crowd is having a FULL-BLOWN EXISTENTIAL CRISIS because they finally have to face the music that maybe—just MAYBE—their "skills" aren't exactly irreplaceable! Swallow that pill, darling. It's medicine time! 💊

Content interview preparation vs actual work O'REILLY Designing Data-Intensive Applications THE BIG IDEAS BEHIND RELIABLE, SCALABLE, AND MAINTAINABLE SYSTEMS Martin Kleppmann

Remember when we used to write our own algorithms? Now we're just watching ChatGPT and Deepseek haul our careers up the mountain while we take a nap in the sleeping bag of obsolescence. And the worst part? We have the audacity to brag about our "productivity" like we actually did something impressive. "Look how far I climbed" – yeah buddy, you typed a prompt and took a coffee break while the AI did all the heavy lifting. The only muscle you've exercised is your index finger hitting Ctrl+V.