
Beyond the Wrapper: Building a Semantic Cache with pgvector to Cut LLM Costs by 40%
When you build an AI feature, the initial prototype is almost too easy. You wire up an OpenAI API key, write a prompt, and wait for the JSON response.
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Thoughts on software architecture, design patterns, and building specific products.

When you build an AI feature, the initial prototype is almost too easy. You wire up an OpenAI API key, write a prompt, and wait for the JSON response.
its a post that tests this