Question On My Job Application

Oh. My. GOD. The absolute TRAGEDY of modern development! 😭 You start with ONE measly problem that's driving you insane. Then your sleep-deprived brain thinks, "ChatGPT will save me!" But PLOT TWIST! Now you're drowning in a sea of strawberry-themed errors because ChatGPT decided to hallucinate an entire fruit salad of solutions! Is it "strawberry" or "strawbery" or "strawberrrrrry"?! WHO KNOWS ANYMORE?! The AI doesn't! And now instead of fixing one problem, you're questioning your entire career choice while debugging AI-generated code that's about as reliable as a chocolate teapot. The circle of developer suffering is COMPLETE!

Behold, the "ML Engineer" who discovered that Python sorts strings alphabetically instead of numerically! The horror! Next breaking news: water is wet. What we're witnessing here is the classic "I didn't read the docs but it's definitely the language's fault" syndrome. Python's sorted() is working perfectly—it's sorting ["9%", "83%", "25%"] as strings, exactly as it should when you give it strings. Pro tip for our aspiring "ML Engineer": try sorted([int(x.strip('%')) for x in a]) next time. Or maybe stick to Excel?

Ah yes, the modern debugging workflow: write broken code, catch the error, and let AI fix it for you. Because nothing says "senior developer" like outsourcing your bug fixes to ChatGPT. Next week: teaching AI to attend your standup meetings while you "work from hammock."

Oh, the classic "elephant in the room" problem has evolved into the "elephant in the AI" problem! ChatGPT was asked to create an image with "absolutely no elephants" yet there's a massive pachyderm chilling in the corner like it's paying rent. This is the digital equivalent of a unit test that passes despite the glaring bug. The AI confidently declares "Here's the image of an empty room with absolutely no elephants in it" while the evidence trunk-slaps you in the face. It's like when your code compiles without errors but still manages to crash spectacularly in production.

Behold, the evolution of AI priorities! First panel: "AI coding for me so I can do my laundry" gets a hard pass. Second panel: "AI doing my laundry so I can code" receives enthusiastic approval. It's the perfect inversion of expectations. Instead of using cutting-edge technology to avoid the noble pursuit of programming, true developers want AI to handle mundane chores so they can spend more time doing what they actually love - staring at a screen wondering why that semicolon is breaking everything. The future isn't AI replacing programmers; it's AI folding your underwear while you debug in peace. Now THAT'S progress.

The ultimate double standard! 😂 While designers freak out when DALL-E 2 steals their artwork, programmers are over here like "You stole my GitHub code? Sweet! Did you actually make that garbage run properly?" It's the coding equivalent of saying "I left that mess on purpose as a trap for the next poor soul!" The desperation of "pls fix my garbage code" is the silent plea we've all made when sharing our repos. We're not stealing code, we're just... collaboratively debugging . 👨‍💻✨