AI is Coding Us Into a Corner

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AI-powered patching and coding is putting us on a track towards a deepening dependency on future frontier models. The modern tools we use today to fix yesterday’s coding problems are quietly creating tomorrow’s quagmire. Companies are using AI to pay down 20 years of tech debt, but in doing so we’re generating a future problem at a scale that humans alone will be unequipped to handle. Let me explain how this could play out. Powerful new frontier LLMs like Mythos and Trusted Access are discovering bugs and misconfigurations that have been hiding in plain sight for years. Suddenly, your network appears a lot more exposed than you realized. Your to-do list just got a lot longer. And everything on it is marked “urgent.” No more summer Fridays. To plug the leaks, many enterprises are turning to the same AI models that discovered them in the first place. AI works fast and tirelessly. It doesn’t take lunch breaks and doesn’t know about summer Fridays. It’s the quickest way to fix an urgent problem. But here’s the rub. AI isn’t an elite software developer or engineer. In fact, it’s pretty average. Why? Because it was trained on the totality of public data, some of which is good and some of which is not. At the midpoint of all that is AI, a massively productive average programmer without the self-awareness to know it’s an average programmer. That means AI makes all the same mistakes as any other average programmer, but it’s also prone to hallucinations, has the confidence of a robot, and the prolificacy of a rabbit. That’s a dangerous combination. AI is essentially introducing …

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