The 3 phases of programmer

From debugging complex algorithms to flipping burgers at McCode's. The great tech replacement didn't quite pan out as expected, did it? After years of training AI to "automate all the things," it finally mastered the art of stealing your job while leaving you with an apron and a drive-thru window. The irony is delicious—much like the fries you're now serving to the engineers who built your digital replacement. At least you've still got job security... until they build a robot that can wave goodbye better than you can.

The top panel shows the Rust experience: find a library on crates.io, run one command, import it, and you're done. The stick figure even has their arms outstretched in celebration. Meanwhile, C++ is depicted as the ninth circle of dependency hell. Finding libraries across random websites, manually downloading tar files, and engaging in ritual combat with CMake until your build inevitably fails. The stick figures are literally hanging themselves in despair. And this is why some of us drink heavily before attempting to add external libraries to C++ projects.

Content bruh.cpp bruh.ccp My code Our code

Content My FBI agent seeing me google "How to center a div" NIcK My FBI agent seeing me google "How to center a div" after 15 years

The existential crisis of a full stack developer captured in one perfect image. In the top row, we have animals lamenting their limitations—a dog can't fly, a fish can't walk, a chick can't swim, and a duck looks on smugly. But then comes the "Full Stack Developer" transformation—suddenly all these creatures are happy despite their limitations. Why? Because that's the essence of full stack development: being mediocre at everything but convincing yourself (and hopefully your employer) that you're somehow qualified to do it all. It's the tech industry's greatest con job—jack of all trades, master of none, yet still employed. The duck's smug grin says it all: "I can barely do any of these things well, but my LinkedIn says I'm proficient in 47 technologies."

This meme perfectly captures the chaotic evolution of app development in the AI era. On the left, we have the traditional coding path - straight, predictable, and mind-numbingly slow (5 whole hours for ONE app? The horror!). Meanwhile, the right side shows the AI-assisted coding reality - a complex railway junction with infinite possibilities, unexpected turns, and somehow getting things done in 5 minutes. Sure, the AI way looks more complicated, but that's just because your app now includes 47 dependencies you don't understand, three different machine learning models that occasionally hallucinate features, and enough technical debt to make your future self contemplate a career change to goat farming. The irony? Both tracks eventually lead to the same destination: an app that'll need to be completely refactored in six months anyway.