Prompt Debt Makes AI Systems Harder to Maintain
O'Reilly Radar
EDITOR BRIEF
The article says natural-language prompts are great for quick AI prototypes, but they become a trap when used to define reliable systems. As teams add more instructions to fix mistakes and edge cases, prompts get harder to read, slower to change, and can start breaking earlier behavior. Some teams respond by splitting prompts into runtime templates, but these can also become tangled.
INSIGHTS
If you’re building with AI, treat prompts as something that will need structure, not just quick edits. A good next step is to move repeated rules into clear templates or tests so behavior is easier to maintain.
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