Bugs In Life

The eternal struggle between theory and reality, illustrated with the elegance of a napkin sketch. What we have here is a linked list implementation of a number classifier that would make computer science professors proud and working developers cry. Sure, in theory, you can determine if a number is odd or even by traversing a linked list where each node points to its opposite classification. Start at "isEven" with 0, follow the pointer once for 1 to get "isOdd", twice for 2 to get back to "isEven"... mathematically sound! Meanwhile, in the real world, the rest of us are just using n % 2 == 0 like normal people and going home at 5pm instead of debugging infinite loops when someone inputs 18,446,744,073,709,551,615.

Content Kat Maddox ctrIshifti Is it a coincidence? I don't think so. Stop testing your software Bugs found Time spent testing software 14:06 20 Sep 20 Twitter Web App 1,717 Retweets 141 Quote Tweets

THE AUDACITY of this confession is sending me into orbit! 💀 Fake it till you make it? More like fake it till they PROMOTE you for it! The sheer DRAMA of frantically Googling "how to fix syntax errors" while maintaining a poker face deserves an Oscar! And that promotion? HONEY, they're literally paying extra for the theatrical performance of you spewing technical word salad while internally screaming! The true masterpiece is mastering the art of confidently nodding while having absolutely no idea what's happening. We're not developers - we're PROFESSIONAL PANIC CONCEALERS with a side gig in Stack Overflow plagiarism!

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Content naomi (forgetful functor) fix... 1d : GPT-4 can't take our jobs if we keep making weird new programming languages faster than it can keep up 125 17 435 5,868 meatbunnyinfosec.exchange meatbunny Replying to fixedpointfae The great thing about ChatGPT is that it gives you an answer on par with the most upvoted answer on Stack Overflow. The downside of ChatGPT is that its answers are on par with the most upvoted answer on Stack Overflow. 3:16 05 Dec 22 Twitter for Android

Python developers love to brag about solving problems in three lines of code, but ask them to explain what from mysterious_module import black_magic actually does and suddenly they're having an existential crisis. It's the classic "I have no idea what this library does but Stack Overflow told me it works" syndrome. Who needs understanding when you have imports? Just copy, paste, and pray to the Python gods that the dependencies don't break in the next update!