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From Prototype to Production: Deploying an LLM App That Won't Collapse

This story is from 2026-09-02. It is preserved in the archive; the latest stories are on the live feed.

A field guide to turning a working notebook into an application that survives real traffic — serving, scaling, rate limits, backpressure, and the failure modes nobody demos. Three weeks before launch, the founder of an e-commerce startup in Dubai called me with a tone I now recognize as controlled…

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  1. 2026-09-02 02:30 · DEV Community — Machine Learning
    From Prototype to Production: Deploying an LLM App That Won't Collapse

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