AI Code: The Gift That Keeps On Giving

Remember when we actually had to understand algorithms? Now it's just "fancy bear, what's the optimal way to balance this binary tree?" And Stack Overflow? That's just AI with extra steps and judgment. But coding without internet? That's like trying to remember your ex's phone number – theoretically possible but why would you put yourself through that pain? The real pros among us still have that O'Reilly book collection gathering dust somewhere, just in case the apocalypse hits and we need to remember how pointers work.

The modern freelance developer's business model in its purest form. Get paid $20 to fix a bug, immediately spend half of it on a Copilot subscription that probably wrote the buggy code in the first place, and pocket a measly $10 profit. The smug anime girl just makes it perfect – that face when you realize you're essentially paying GitHub to help you fix the mess their AI created. It's the circle of tech life: create problems, sell solutions, repeat.

Ah, NVIDIA's market strategy in a nutshell. Become absurdly wealthy selling GPUs that cost more than my car, then act shocked when developers complain about memory limitations. It's like a billionaire asking why you don't just buy a bigger house when you complain about storage space. "What's that? Your AI model doesn't fit in 8GB VRAM? Have you considered remortgaging your home for our $4000 model instead?" Meanwhile, developers everywhere are writing increasingly creative memory optimization hacks just to avoid selling a kidney for more VRAM. The tech equivalent of fitting an elephant into a Mini Cooper.

The secret sauce of modern development revealed! When asked about becoming a coder, the honest answer isn't four years of computer science or mastering algorithms—it's just endlessly Googling error messages until something magically works. The uncomfortable truth is that 90% of our "expertise" is knowing exactly what to search for and which Stack Overflow answer to copy-paste. ChatGPT is just Google with extra steps and fewer captchas asking us to identify traffic lights.

AI is that new junior dev who can write an entire e-commerce platform from scratch overnight but stares blankly at the screen for hours when you ask it to fix a missing semicolon. The duality is real - fancy tuxedo for creating complex systems, but turn into a teeth-grinding maniac when faced with debugging the simplest issues. Just like the rest of us, except we don't have the excuse of being a neural network.

The circle of AI delegation is complete! Senior dev thinks they've discovered a brilliant management hack by treating juniors like neural networks and writing detailed prompts for them. Meanwhile, the junior is just copying those prompts straight into ChatGPT and letting the actual neural network do the work. It's basically prompt engineering inception - the senior dev is unknowingly prompt engineering for an AI through a human middleman who's adding zero value to the process. This is peak 2023 software development efficiency!