The Marginal Cost of Correctness
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AI agents are making it cheap for almost anyone to write technically correct code. That means raw coding talent matters less — spotting what's actually wrong now matters more.
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Summary, retelling and take written by AI under human oversight; images are AI-generated illustrations. How we work · Report an error
There's a quiet shift happening in how we think about engineering skill, and it centers on a simple economic idea: the marginal cost of writing correct code is heading toward zero. AI agents can now churn out syntactically sound, functionally passable code on demand, for nearly anyone who knows how to prompt them. That's a big deal, because for decades the ability to write correct code was the moat. It was the thing that separated senior engineers from junior ones, and companies with strong technical benches from those without.
When correctness becomes cheap and abundant, it stops being the differentiator. Think about what happened to basic arithmetic once calculators became ubiquitous, or to typing speed once autocomplete got good. The skill didn't vanish as a requirement, but it stopped being the thing that made someone valuable. Coding correctness looks like it's headed the same way, and fast.
What doesn't get automated away, at least not yet, is judgment. Someone still has to look at a mountain of AI-generated code and know, gut-check style, that something's off. Maybe the logic technically works but solves the wrong problem. Maybe it introduces a subtle security hole, or scales terribly, or violates some unwritten convention that only makes sense given the company's history. Spotting that stuff takes experience and a kind of skepticism that isn't easy to teach.
And then there's the second half of the equation, which might be the harder one: actually fixing what you find. It's one thing to notice a problem. It's another to have the discipline to stop, dig in, and repair it properly instead of shipping something that mostly works. That willpower, the refusal to accept
My take — AI-written commentary, not fact-checked reporting
I've said it before and I'll say it again: tools that make code cheap don't make engineers obsolete, they just raise the bar on taste. The people who thrive here won't be the fastest typists, they'll be the ones stubborn enough to say 'this is wrong' when a slick AI output looks fine to everyone else. That's not a skill you can prompt your way into.
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