We Are Also Feeding It Code

Content Today 6:14 AM dude your job is done for • I just made an entire website with chatGPT wanna see it? sure Read 6:16 AM C: Users\ben\ Downloads\index.html

Sorting imports by character length instead of alphabetically or by module type? That's like organizing your sock drawer by how much each sock weighs. Sure, it looks oddly satisfying with that gradient effect, but your code reviewer is probably drafting your performance review right now. The real horror isn't the sorting method – it's that you're importing both matplotlib AND sklearn in the same file. That poor memory usage never stood a chance.

When AI decides to "help" with your codebase, you get poetry in motion and chaos in production. Claude 4 went full Marie Kondo on this poor dev's code - breaking up monoliths, cleaning spaghetti, and creating a masterpiece that sparks joy but crashes spectacularly. It's like hiring a world-class interior designer who makes your house gorgeous but removes all the load-bearing walls. The perfect metaphor for every "revolutionary refactor" that looked amazing in the PR but brought the entire system to its knees. At least it died beautifully.

The classic "rules for thee but not for me" situation. OpenAI's totally fine with hoovering up the entire internet to train ChatGPT, but when someone else does the same to them? Pure shocked Pikachu face. It's like getting mad at someone for copying your homework that you copied from the class genius. The irony is thicker than legacy code comments.

Modern programming in a nutshell: you spend 4 hours crafting the perfect prompt to tell an AI what you want, then 2 hours actually coding. It's like having a really smart but incredibly literal intern who needs extremely detailed instructions. The fake Abraham Lincoln attribution is *chef's kiss* – because nothing says "inspirational tech thought leader" like slapping a historical figure's name on your LinkedIn hot take about AI-driven development. Pretty sure Honest Abe was more into splitting rails than splitting user stories into microservices. But real talk? The ratio is painfully accurate. Half your "coding time" with AI tools is just negotiating with ChatGPT or Copilot to generate something that doesn't look like it was written by a caffeinated rubber duck. "No, I said B2B SaaS, not B2C... no, not blockchain... please stop adding blockchain..."

That moment when a children's chair has better edge detection than your 3000-line image processing algorithm. Spent two weeks optimizing your code only to be outperformed by a piece of furniture from Blues Clues. The black outline is just mocking your gradient descent functions at this point.