Why Don't You Just Show Me The Line Of Code

Why reinvent the wheel with AI when you can participate in the grand tradition of code inheritance? The sacred lineage of copy-pasting that traces back to the original Stack Overflow prophets. Sure, AI might generate something "original," but there's an undeniable elegance to using code that's been battle-tested through generations of theft. It's not plagiarism—it's vintage sourcing with historical significance. The circle of code life continues, and somewhere, an Indian tech specialist is silently nodding in approval while their solution powers half the internet.

So AI already brutally murdered RAM and is currently swinging at RAM's poor cousin (Crucial brand, nice touch). But wait—there's still one more door to kick down: the GPU. And honestly? GPU manufacturers are probably sweating right now because AI's appetite for VRAM is absolutely insatiable . First, AI workloads ate all your RAM for breakfast with massive language models and training datasets. Then they came for your storage with multi-terabyte model checkpoints. Now they're eyeing your GPU like it's the final boss in a horror game, except the boss always wins. Your RTX 4090? Cute. AI needs a server farm with 8x H100s just to load the model weights. The real kicker? While gamers are out here celebrating their 24GB VRAM cards, AI researchers are like "yeah that'll hold my model's attention layer... for one token." The GPU shortage wasn't a crypto thing—it was a preview of coming attractions.

Remember when updates were supposed to fix things? Microsoft out here bragging about AI writing 30% of their code while simultaneously turning every patch Tuesday into a digital apocalypse. Nothing says "cutting-edge tech company" quite like breaking recovery tools, localhost connections, media creation tools, and Active Directory in a single update cycle. The skeleton isn't the Grim Reaper—it's just the average sysadmin after discovering what the latest "security improvements" did to their infrastructure. Maybe the other 70% of human-written code was the only thing keeping the servers running.

Behold the modern developer experience! Claude 4 AI just swooped in like a digital Marie Kondo, completely restructuring this poor dev's codebase with surgical precision. 25 tool invocations, 3,000+ new lines, 12 brand new files – all to create a beautiful, modular masterpiece that... doesn't actually work. It's the classic "aesthetics over functionality" trap that every developer secretly falls for. We'll spend hours making our code architecturally gorgeous while completely breaking the actual functionality. Because nothing says "senior developer" like admiring non-functional code at 5:55 AM and thinking "but damn, it's beautiful."

The eternal struggle between functionality and aesthetics in one comic. AI code assistants are like that friend who suggests "refactoring" your perfectly working code into an unrecognizable mess—but hey, at least the indentation is perfect! Sure, your app now crashes on startup, but those variable names are so consistent. Nothing says "modern development" quite like breaking core functionality for the sake of "clean code principles" that nobody asked for.

Junior devs getting bullied by the entire programming ecosystem until ChatGPT comes along like "Hey buddy, let me help you with that regex. No question is too stupid, I promise." The real programming revolution wasn't better frameworks or faster computers—it was finally having someone who doesn't make you feel like garbage for not knowing what a monad is.