Teaching Python programming

Oh look, another tech prophet declaring our imminent obsolescence! The suggestion that we'll blindly trust AI-generated code like Claude without review is getting the Doge Bonk™ it deserves. Twenty years in this industry and I've survived every "this will replace programmers" prediction since Visual Basic. Sure, AI will change things, but the day we stop checking AI output is the day production servers spontaneously combust worldwide. Trust but verify isn't just for nuclear disarmament—it's for that sketchy code your AI buddy wrote while hallucinating documentation that doesn't exist.

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When someone suggests you actually learn something or use critical thinking but you've got ChatGPT on speed dial. Why bother with that wrinkly meat computer in your skull when you can just ask an LLM to hallucinate some plausible-sounding nonsense? The modern developer's relationship with AI: politely declining the use of their own brain like it's some outdated legacy system. Sure, debugging used to require understanding your code, but now we just paste error messages into a chatbot and pray. Who needs neurons when you've got tokens? Plot twist: the AI was trained on Stack Overflow answers from people who actually used their brains. Full circle.

Content work for a large corporation that doesn't understand agile and deal with miles of red tape work for startup with a cult of personality CEO

When your coding interview asks you to implement FizzBuzz but you've spent the last decade writing unreadable code to impress your colleagues. That's not just FizzBuzz—that's FizzBuzz with extra steps, obfuscation, and a sprinkle of "I'm too smart for readable solutions." Nothing says "hire me" like turning a 5-line problem into cryptic sorcery using the __LINE__ macro to loop through numbers. The interviewer wanted to see if you could code; you showed them you could create puzzles that would make the Sphinx quit its day job.

Content WHEN YOU LOOK UP YOUR CODE ERROR ON GOOGLE BUT THERE ARE NO ANSWERS