#Stop AI

That moment when management says "Let the new intern refactor our 15-year-old codebase using the latest AI tools!" and suddenly your monolithic spaghetti monster is being "optimized" by ChatGPT. The intern's smirking because they have no idea what horrors lurk in those 200,000 lines of uncommented code with business logic from three CEOs ago. Meanwhile, senior devs are quietly updating their resumes while watching the dumpster fire unfold. Pro tip: Always keep a backup before letting someone with AI confidence and zero legacy context near your production code.

When you think $500/day in LLM tokens is cheap, you've officially transcended to a higher plane of existence. My guy spent $4,536 in 30 days just asking ChatGPT to debug their code. That's like burning through 12 BILLION tokens - basically having a conversation with an AI that never shuts up. The math here is wild: take the $500k/year job and you're essentially paying $182,500/year for the privilege of using AI. Meanwhile, the $400k job with "free" tokens is actually netting you $582,500 in total compensation. But sure, let's pretend we're making a tough decision here. This is what happens when you let AI write all your code - you become so dependent on it that spending $1,356 per DAY seems reasonable. At this rate, they're probably asking GPT to write their grocery lists and compose breakup texts.

So you're photoshopping watermarks onto your architecture diagrams to make them look AI-generated, just so you can blame the AI when juniors discover your frontend is hitting the database directly. Galaxy brain move right there. Instead of fixing the architectural nightmare you created, you're manufacturing plausible deniability. "Sorry, the AI made some questionable decisions" is the new "it works on my machine." At least now we know what the real use case for AI in enterprise is: a scapegoat with unlimited capacity for blame absorption.

The classic "rules for thee but not for me" saga starring OpenAI! First panel shows them smugly scraping the entire internet like digital pirates, building ChatGPT on everyone else's copyrighted content without so much as a "pretty please." But when a Chinese company does the exact same thing to them? Suddenly they're clutching their pearls and reading law books! Turns out intellectual property only matters when it's your intellectual property being "borrowed." The hypocrisy is so thick you could train a neural network on it.

We've all been there. You don't trust a single AI anymore, so you've basically turned coding into a democracy where ChatGPT, Gemini, Claude, Grok, and DeepSeek all get a vote. Ask the same question to five different AI overlords, paste their responses into separate files, run them all, and pick whichever one doesn't explode. It's like speed dating but for code solutions. The "like a psychopath" part hits different because it's true. You're not debugging anymore—you're conducting a Hunger Games for algorithms. May the best AI-generated code win. The real kicker? This is somehow more efficient than reading documentation.

The duality of modern coding life. First panel: "OMG, GitHub Copilot is free in VS Code?!" *frantically puts on glasses to see clearly* Second panel: "Wait... my code is free for GitHub Copilot?" *realization sets in* Remember when we used to worry about other devs stealing our code? Now we're feeding the AI overlords our precious algorithms so they can regurgitate them to junior devs who'll get paid more than us. The circle of tech life, folks.