The Evolution Of Developer Crutches

The world's most efficient and accurate decision tree in computing history. While VCs throw millions at anything with "blockchain" in the pitch deck, actual engineers have known this truth for years. The 2025 update will just be the same diagram with "Do I need AI?" added, and spoiler alert - the answer is also "No." Unless you're selling to people who don't understand technology but control the budget.

The traffic light is literally hanging by a thread but still functioning—just like that spaghetti code you wrote at 3 AM with 17 nested if-statements and zero comments. Sure, it violates every engineering principle known to mankind, but the unit tests pass! That red light stopping traffic is the digital equivalent of your monstrosity somehow preventing production crashes while your tech lead silently weeps during code review.

The eternal struggle between developer and AI. One wants a magical performance boost with zero effort, while the other suggests doing actual optimization work. Reminds me of every junior dev who thinks adding more RAM will fix their O(n²) algorithm. Spoiler: it won't. Batman's slap represents the harsh reality check we all need sometimes—no AI will save you from learning proper engineering practices.

Look, I've been in this industry long enough to know that saying "Copilot is actually good" in public is basically a medical emergency. The AI code assistant debate has become so polarized that admitting you find it useful is like confessing you don't use Vim or that you actually enjoy writing documentation. Half the developers out there are convinced it's destroying the craft of programming, while the other half are quietly shipping features faster than ever. But heaven forbid you say it out loud—you'll get roasted harder than a failed deployment on a Friday evening. The truth? Most people complaining about Copilot either haven't used it properly or are just mad that autocomplete got a PhD.

Finally, a sorting algorithm with the computational complexity of O($$). Just send your array to GPT, pay a few cents, and get it back sorted. Perfect for when you need your data arranged but can't be bothered to remember how quicksort works. The best part? If your array isn't sorted correctly, you can just claim it's because the AI "didn't understand the vibe" of your integers.

Ah, the classic "locally running fine-tuned model" joke that perfectly skewers both tech bros and Nvidia's marketing department in one fell swoop. This is riffing on how Nvidia has been aggressively pushing AI capabilities in everything from gaming to dating. The tweet satirizes the absurd endpoint of this trend – where even your romantic partners need to be running on local hardware to be "legitimate." As someone who's watched GPU prices skyrocket while marketing slides get increasingly unhinged, I feel this in my empty wallet. Next they'll be selling us RTX 5090s with "girlfriend-ready ray tracing" for the low price of your firstborn child.