Your LLM API Returns 200 OK. So Why Is Your AI Application Still Broken?
This story is from 2026-09-22. It is preserved in the archive; the latest stories are on the live feed.
AI applications rarely fail in the way traditional software fails. Sometimes the API returns 200 OK — but the answer is wrong. Sometimes latency looks acceptable — until one prompt suddenly consumes 10× more tokens. Sometimes a RAG pipeline technically works — but retrieval quality quietly gets wor…
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- 2026-09-22 16:29 · DEV Community — AI
Your LLM API Returns 200 OK. So Why Is Your AI Application Still Broken?