What Inference Provider Lock-In Looks Like in Production
DigitalOcean Community Tutorials
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EDITOR BRIEF
The excerpt explains that using an OpenAI-compatible API does not fully prevent lock-in when you later need to move an AI app to another inference provider. It says the real cost can show up in migration work that is harder than just swapping endpoints.
INSIGHTS
For beginners, this is a reminder to design for portability early. A practical next step is to separate provider-specific code behind one interface so switching models or providers is easier later.
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