A Piece Of Cake

Imagine creating an entire programming language and then being asked to prove you know how to use it. The sheer audacity of HR making Ken Thompson—the literal father of C—take a C proficiency test is peak corporate bureaucracy. It's like asking Picasso to pass a coloring-within-the-lines test or making Einstein solve basic algebra before letting him work on relativity. "Sorry sir, company policy—everyone needs to demonstrate they can print 'Hello World' before accessing our codebase."

Finally, a political compass that makes sense! Instead of left vs. right, we've got "System Lang" vs "Toy Lang" - because nothing starts a flame war faster than calling someone's favorite language a "toy." And instead of authoritarian vs libertarian, we've got "Obsolete Lang" vs "Nu Lang" - where COBOL programmers are still making bank while the rest of us chase shiny new frameworks every six months. The placement is savage. Assembly and C sitting proudly in the "real systems" corner while Python and Ruby hang out in the "scripting for children" zone. And poor Brainfuck got exiled to the furthest corner possible - exactly where it belongs. This is basically a Rorschach test for developers. Whatever quadrant your favorite language is in tells everyone exactly what kind of programmer you are... and whether anyone wants to sit next to you at lunch.

The Go team really said "let's add generics after 13 years of the language existing" and "sure, interfaces are cool" while completely ghosting proper error handling. Meanwhile, developers are still out here writing if err != nil until their fingers bleed. Every. Single. Function. The skeleton at the bottom of the pool? That's every Go dev who's been waiting for a decent error handling mechanism since 2009. Some say they're still checking for nil errors to this day. The Go team keeps promising improvements but then gets distracted by adding yet another way to format strings or optimize the garbage collector by 0.3 nanoseconds. At least we got generics though... only took them longer than it takes to build an entire JavaScript framework from scratch (which happens about every 2 weeks).

Ah yes, the classic "$800,000 bootcamp" that promises to transform you into a software engineer in just 3 months by teaching you *checks notes* approximately 87 programming languages, including some that barely exist anymore. Nothing says "legitimate education" like cramming Fortran, COBOL, and Assembly alongside React and TypeScript into 90 days. The "if you can't find a job you can spit on our faces" guarantee is the cherry on top of this scam sundae. Spoiler alert: The only thing you'll master in 3 months is how to lose $800K faster than a startup with free snacks and ping pong tables.

Someone reports a compilation error. Developer asks to see the code. They send a Go program that literally just prints "compilation error" to the console. The bug has been successfully reproduced—in the most literal, useless way possible. Turns out the real compilation error was the friends we made along the way. Or in this case, the complete lack of understanding about what "compilation error" actually means. Either they're trolling hard or they've achieved a level of misunderstanding that transcends normal human communication. Support tickets like these are why senior devs have that thousand-yard stare.

LinkedIn influencers really woke up and chose violence by placing Python in the "high performance" category. That's like calling a minivan a sports car because it has wheels. JavaScript sitting comfortably in low performance is the only honest thing about this chart. The real comedy gold here is that this person is a "Compiler & Toolchain Engineer" who apparently doesn't understand that popularity and performance have zero correlation. It's giving "I made a chart in 5 minutes to farm engagement" energy. And judging by those 32 comments, the strategy worked—probably filled with C++ devs having aneurysms and Python devs writing essays about how "performance doesn't matter for most use cases." LinkedIn: where technical accuracy goes to die, but engagement metrics thrive.