Right now, somewhere in the world, an engineer is tweaking a prompt, adjusting an LLM's temperature, or writing a system command that says: "Please format your response strictly as valid JSON and do not hallucinate."
And the most terrifying part of this reality? As an industry, we genuinely believe this is software engineering.
Let’s take a step back and look at our modern infrastructure with brutal honesty: We are no longer building systems. We are operating a massive statistical casino where we roll dice between code blocks. And the worst part? We don't even know what the house is going to do next.
The Ontological Error: Words Are Not Inputs
The fundamental trap the industry has fallen into is trying to solve AI failure modes at the wrong layer. When an agent chain breaks or spirals into an infinite loop, developers immediately look for a better sequence of words to fix it.
