We’re in an AI golden age where small teams can achieve remarkable success. Companies like Cursor and Sakana AI exemplify this, reaching impressive valuations with minimal staff. However, the real challenge arises during rapid growth; many AI applications are designed to validate ideas quickly but falter under pressure when user bases surge. Key components that developers must focus on include robust memory systems, LLM for reasoning, and seamless tool integration. As LLMs have become commoditized, customer experience and agent memory infrastructure are critical for performance during spikes in usage. Poor infrastructure choices can result in significant technical debt and lost opportunities. Milvus, an open-source vector database, offers flexible options and advanced capabilities like multi-tenancy and hybrid search that enhance AI agents. Utilizing Milvus or its managed service, Zilliz Cloud, allows developers to focus on innovation without complexity, ensuring growth readiness in an evolving market.
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Building Scalable Infrastructure from Day One: A Crucial Strategy for AI Agent Startups | by Fendy Feng | Jun 2025
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