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Why Most AI Applications Fail in Production: Lessons Developers Should Know

This story is from 2026-09-03. It is preserved in the archive; the latest stories are on the live feed.

****Building AI applications has become significantly easier. Developers can now connect powerful AI models, create interfaces, and build functional prototypes in a relatively short time. However, creating a production-ready AI system is a much bigger challenge. A prototype can demonstrate that an…

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  1. 2026-09-03 19:10 · DEV Community — Machine Learning
    Why Most AI Applications Fail in Production: Lessons Developers Should Know

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