The problem is prompt debt
The plain-English prompt that makes prototypes effortless turns out to be a poor way to specify how a system should behave, and the bill arrives slowly, disguised as ordinary progress, until the application can barely move.
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Jun 22, 2026 AI CONTEXT PROMPTING LLMS ENGINEERING The Problem is Prompt Debt You can’t be model agnostic if you’re hand-tuning prompts Thanks to natural language interfaces, AI applications can be prototyped quickly. You write what you want in English, hand it to a frontier model, and a working prototype appears in an afternoon. This is extraordinarily powerful and for one-off tasks, optimal. But as a way to build reliable systems, the natural language prompt is a trap. The plain-English prompt that makes prototypes effortless turns out to be a poor way to specify how a system should behave, and the bill arrives slowly, disguised as ordinary progress, until the application can barely move. The problem is not any single prompt.
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