Top Places Where I Can Find A Solution: Bathroom, Bed And Party

Content Try to remember context of "TODO: Fix this" comment Ignore and remove it

You know that look when someone asks you to explain code you wrote six months ago? Now imagine that, but the code was written by someone who left the company three years ago, has zero documentation, and somehow still runs in production. That's Viber engineering in a nutshell. The monkey puppet meme captures that exact moment of existential dread when you realize you have no idea how any of it works, but you're too deep in to admit it. The code just... exists. It functions. Nobody touches it. Nobody questions it. It's like that load-bearing comment in the codebase—remove it and everything collapses. Props to whoever maintains Viber though. Legacy messaging apps are basically digital archaeology at this point. Every commit is like defusing a bomb while wearing oven mitts.

The classic "hero-villain duality" of software development. You push that sketchy hotfix to production at 4:58 PM on Friday, everything breaks over the weekend, and by Monday morning you've "heroically" fixed your own disaster. The boss is none the wiser as you accept praise with that panicked Muppet face, knowing you're one git blame away from exposure. The circle of tech life.

Content A https: 4 bugs fixed features added

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.

Content Coworker: so how did you solve the bug? Me: Ostrich algorithm From Wikipedia, the free encyclopedia In computer science, the ostrich algorithm is a strategy of ignoring potential problems on the basis that they may be exceedingly rare. It is named for the ostrich effect which is defined as "to stick one's head in the sand and pretend there is no problem". It is used when it is more cost-effective to allow the problem to occur than to attempt its prevention.