Let Me Show You Which AI Model Actually Writes the Best Code
I've been obsessed with AI coding assistants lately. Like, embarrassingly obsessed. I keep finding excuses to throw real-world problems at different models just to see what sticks. So last month I did something that ate up way more of my weekend than I'd like to admit — I ran 10 of the top LLMs through five coding tasks and tracked every result like a slightly unhinged spreadsheet nerd.
Why? Because picking the wrong model for code generation is expensive. Not just in dollars (though we'll talk about that), but in the time you spend cleaning up garbage outputs. So here's how I figured out which AI actually deserves a spot in your dev workflow.
Let's dive in.
My Honest Takeaway Before We Get Into the Weeds
