Git Push --Force And Consequences

The evolution of trust in software development: Regular Pooh: Not sharing code at all. Suspicious. Probably hiding something terrible. Fancy Pooh: Publishing source code. Ah, a developer of culture and transparency. Demonic Pooh: Creating a GitHub repo with just an executable. The digital equivalent of saying "here's a mysterious candy, stranger, just put it in your mouth."

The ABSOLUTE PEAK of solo developer dignity! 💅 Creating a pull request on your own repository and then dramatically switching hats to approve it yourself is the coding equivalent of giving yourself a medal! It's that special moment when you pretend there's an actual code review happening, but it's just you having a conversation with yourself like some kind of Git schizophrenia. "Hmm, this code looks FABULOUS, darling! Who wrote it? Oh wait—IT WAS ME!" The ceremonial self-merge: simultaneously the most pathetic and most empowering ritual in solo development history!

Ah, the classic code review battlefield! 🔥 Nothing triggers a developer's fight-or-flight response faster than hearing "Your code will work but I don't like the way it is implemented." It's like telling someone their baby is ugly but functional. 😂 We've all been there - spent hours crafting what we think is a masterpiece, only for some senior dev to casually suggest a "small refactor" that invalidates your entire approach. The code passes all tests? Runs perfectly? Doesn't matter! It's not elegant enough for their refined taste buds. This is basically the programming equivalent of starting a bar fight. Keyboards will fly, Stack Overflow links will be weaponized, and someone's going to end up crying into their mechanical keyboard at 2am while rewriting everything.

Started coding a "simple hash function" and GitHub Copilot went full existential crisis mode. Started reasonable with "not cryptographically secure, but fast" then spiraled into "not guaranteed to be stable across different phases of the moon" and "different parallel universes." This is what happens when your AI assistant has seen one too many 3 AM debugging sessions. Somewhere in Silicon Valley, a neural network is clearly having PTSD flashbacks from training on StackOverflow comments.

Top panel: Blissful ignorance. You commit your code thinking you've solved everything. Middle panel: Reality check begins. QA finds those edge cases you conveniently forgot existed. Bottom panel: Full existential dread. DevOps messages you at 2AM about the production server that's now somehow mining cryptocurrency in Paraguay. The three stages of deployment grief. No developer has ever experienced the mythical fourth panel: "Everything worked perfectly."

The classic software development Schrödinger experiment: tests are both passing and failing simultaneously until you observe the coverage. Sure, the GitHub badge proudly shows green with "Tests passing" - technically not lying. Meanwhile, the 0% coverage badge silently screams "we wrote exactly ONE test that checks if true equals true." The digital equivalent of putting a single piece of tape over your check engine light and declaring the car "fully serviced."