The AI Hunger Games: Modern Coding Edition

Asking how to check LLM code quality without being an expert is like asking how to check if your parachute works without jumping out of a plane. The irony is delicious - you're using an LLM to ask how to evaluate LLM-generated code. It's the digital equivalent of asking a toddler if they think they should have more candy. The answer is always "yes" and always suspiciously in their favor.

Getting that baby started on backpropagation before they can even propagate backward out of the room. Gotta secure that AI engineering job by age 3. The kid's already debugging neural network architectures while the rest of us are still trying to center a div. In 20 years they'll be creating sentient AI while we're still arguing about tabs vs spaces.

Ah, the Gartner Hype Cycle - tech's emotional rollercoaster! Right now we're all riding that sweet, sweet ChatGPT high at "Peak of Inflated Expectations" where everyone thinks AI will solve everything from debugging your code to fixing your love life. Just wait for that "Trough of Disillusionment" when we realize it still can't figure out why your code works in dev but crashes in production. The real fun begins when some manager inevitably says "Let's use AI to rewrite our entire codebase!" and then blames the junior dev when it hallucinates semicolons in Python.

Oh look, it's the modern developer's daily ritual! That moment when you check what you stepped in and discover it's not regular garbage—it's AI Generated SQL . The perfect representation of what happens when you let AI write your database queries. Sure, it looks like SQL from a distance, but examine it closely and you'll find a horrifying abomination that would make even the most battle-hardened DBA weep. Nothing says "I've made terrible life choices" quite like debugging code that was hallucinated by an algorithm with the database knowledge of a caffeinated squirrel. Next time just write the query yourself, unless you enjoy explaining to your boss why the production database is suddenly identifying as a toaster.

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The circle of life in tech! Designers who can't code are now using AI to generate code, while developers who can't design are using AI to create visuals. It's the ultimate tech symbiosis where both sides are just frantically asking ChatGPT to do the part of the job they've been avoiding for years. Next up: AI using humans to generate more training data. The snake eats its tail!