Sup Ladies

Oh, so we're just casually letting ChatGPT debug our code now? Just gonna throw our errors at the AI overlords and pray they send back working code? The sheer AUDACITY of this approach is both horrifying and... honestly kinda genius? Like, why spend hours understanding your own code when you can just ask ChatGPT "Fix for: [incomprehensible error message]" and call it a day? The future of programming is literally just vibing with AI and hoping for the best. Senior developers are SHAKING right now. Stack Overflow is in SHAMBLES. We've gone from copy-pasting solutions to automating the entire process of not knowing what we're doing. Revolutionary.

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.

Oh god, this is brilliant. Just imagine all those LinkedIn posts now: "Our new cocaine-powered chatbot will revolutionize customer service!" or "Top 10 ways cocaine will disrupt your industry!" The tech hype cycle and the actual cocaine cycle have the same phases: initial euphoria, inflated expectations, crushing disappointment, and somehow still costing you all your money. The only difference is one crashes after 20 minutes and the other after your next funding round.

Machine learning engineer: "No, honey, they're just PyTorch and Keras model files." Non-technical partner: *suspicious squinting intensifies* Those file extensions (.pkl, .pt, .pth) are just serialized machine learning models. Though let's be honest, naming that folder "models" instead of "neural_networks" was a rookie mistake. Next time use something truly unsexy like "gradient_descent_checkpoints".

GitHub Copilot: "I'll help you debug this code!" Also Copilot: *confidently points out a non-existent capitalization issue while completely missing the actual bug* It's like having a junior dev who speaks with absolute certainty while leading you down rabbit holes that waste hours of your life. The real bug is probably something completely different, but hey, at least Copilot made you feel productive for 5 seconds before crushing your soul. The AI revolution is here, folks - and it's just as confused as we are! 🤦‍♂️

So coding suddenly got 10x easier overnight with AI tools, but somehow we still need the same number of developers? Sure, Jan. The tweet's calling out the elephant in the room: if productivity supposedly skyrocketed thanks to ChatGPT and Copilot, why hasn't anything fundamentally changed in the industry? Either these tools aren't as revolutionary as VCs claim, or companies are just hoarding the efficiency gains while pretending everything's normal. Spoiler alert: it's probably both. The "fake ass industry" comment hits different when you realize we've been through this hype cycle before—remember when low-code platforms were gonna replace us all? Yeah, we're still here writing nested ternaries at 2 AM.