The Accidental Telltale FPS Counter

Content 6 STAGES OF DEBUGGING 1. That can't happen. 2. That doesn't happen on my machine. 3. That shouldn't happen. 4. Why does that happen? 5. Oh, I see. 6. How did that ever work?

The four horsemen of Stack Overflow responses! You ask a simple question and get hit with "Sounds like a skill issue" or my personal favorite: "This problem wouldn't exist if you knew what you were doing." Meanwhile, the same developers who refuse to help are furiously bookmarking other people's answers for their own projects. The digital equivalent of throwing someone into the deep end while screaming "just swim better!" Nothing says coding community quite like gatekeeping basic knowledge behind a wall of condescension.

Content Aaron Patterson V tenderlove V I like to add and f any time I submit online forms because I know that some developer is going to see it and wonder if they have a bug 1:21 AM Apr 20, 2016 Echofon 3.8K Retweets 5.4K Likes

STOP EVERYTHING! We have a tech support TRAGEDY of EPIC proportions! 😱 This poor, innocent soul is having an existential crisis because their computer is demanding they adopt a LITERAL SNAKE just to run a program! The horror! The drama! Little do they know, Python isn't an actual reptile slithering through your USB ports - it's just a programming language named after Monty Python (not the snake, the comedy group)! The absolute DEVASTATION when tech support finally realizes what's happening... I'm deceased! 💀 Somewhere, a programmer is screaming into their coffee mug while a tech support agent contemplates a career change. Tale as old as time!

The Python GIL strikes again! Python's Global Interpreter Lock is like that one coworker who insists they're a "team player" but refuses to let anyone else touch their code. Sure, Python has threads, but they're essentially taking turns using the CPU instead of running simultaneously—like standing in line at the coffee machine instead of everyone making their own coffee. The sarcastic "that's really the most important part" is pure chef's kiss for any developer who's watched their multi-threaded Python program run barely faster than the single-threaded version. For serious parallelism, you'll need multiprocessing or asyncio, because Python threads are just playing pretend!

Content When you recompile your code and get a different error this time I see this as an absolute win