Not everything should cost a token: the case for deterministic AI
The article argues that developers are overusing large language models for deterministic tasks that could be handled more efficiently by simple scripts. It warns that routing mechanical data processing through AI leads to unnecessary costs, latency, and reliability issues.
Why it matters
As AI adoption grows, understanding the distinction between probabilistic reasoning and deterministic automation is critical for cost-effective software architecture.
A team I talked to recently wired up an agent to do something simple: pull a metrics API every morning, reshape the JSON, and drop the result into a table. Clean idea. It worked on day one.
The article provides technical advice on software architecture without political or ideological framing.
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