Do Not Deploy On Friday

Oh, the absolute chaos of Git operations gone wrong! The meme brilliantly uses airplane imagery to illustrate version control disasters: The first plane represents THE COMMIT - clean, orderly, everything as expected. The second shows THE MERGE - still mostly intact but clearly something's off (just like when you merge branches with minor conflicts). But the third image? That's the nightmare scenario - THE CHANGES TO THE CODE I FORGOT TO STAGE - a crowd of people desperately evacuating what appears to be a doomed flight. That sinking feeling when you realize your critical changes weren't included in your push because you forgot to git add them first. And this, friends, is why we don't bypass code reviews. Your teammates might have noticed those unstaged changes before they became a production emergency!

The ultimate cloud hack: not using it at all! This dev's created a "Zero Cost Certificate" complete with defense strategies against AWS billing. The most bulletproof AWS architecture? Zero instances, zero services, zero dollars. My favorite part is threatening to show Bezos the screenshot if they dare charge a penny. Because nothing strikes fear into a trillion-dollar company like a strongly worded email and the promise to "speak to the manager." Pure financial genius! Bonus points for the "SQUEAKY CLEAN" account status. If only my code were that spotless.

The code review nightmare in its natural habitat! The reviewer is bombarded with a buffet of coding atrocities—null pointer references lurking in the shadows, deprecated methods that should've been buried years ago, and a loop so obvious it's practically screaming for attention. But the pièce de résistance? That cyclomatic complexity of 36—a number so high it should come with its own warning label. For the uninitiated, cyclomatic complexity measures how many paths code can take. Anything over 10 is considered complex; 36 is basically a labyrinth designed by a sadistic developer who hates their future self. Yet despite this horror show, the reviewer's profound analysis boils down to checking if a variable is false. The cognitive dissonance is exquisite—like bringing a spoon to a gunfight and declaring yourself adequately armed.

The battle cry of developers who've been through one too many sprint retrospectives where they somehow finished 70 points but now have 100 points remaining. Nothing says "efficiency" like spending 90% of your time in planning meetings about how to reduce meetings. Or using poker cards to estimate work because apparently, software complexity scales exactly like a Texas Hold'em hand. My favorite part is how we pretend story points aren't time measurements while simultaneously tracking velocity. Math is hard when you're busy "grooming" the backlog—a term that should absolutely get you on a watchlist. That pie chart showing 95% planning and 5% work is the most accurate documentation ever produced in an agile environment.

OH. MY. GOD. This is the most accurate representation of AI chatbots trying to make sense of legacy code I've ever witnessed! 💀 That poor soap dispenser desperately trying to pump life into that sad, sunken bar of soap is LITERALLY every AI tool we've thrown at our 20-year-old codebase. "Here, ChatGPT, please fix this spaghetti monster written by three developers who all quit in 2007!" The AI is just there pumping away with absolutely ZERO results while the ancient code just sits there... menacingly... refusing to evolve. I can't even with how painfully real this is!

The eternal battle between Linux update strategies, beautifully illustrated by someone who's clearly spent too much time staring at a terminal. Top panel: "Here's how to keep Linux updated for normal humans" - followed by a list of options that would make any sane person question their life choices. Manual updates that will eventually kill your system? Hard pass. Bottom panel: The character suddenly perks up at options that would make any system administrator weep tears of joy. Immutable systems with automatic updates? Rolling releases with daily snapshots? It's the perfect encapsulation of how Linux users gradually transform from "I just want my computer to work" to "I need my system to update itself 47 times daily while maintaining perfect atomic snapshots with zero downtime." The addiction is real.