Reliable AI Agents Need Boundaries, Not More Loops
The hardest production problem with AI agents is not adding more tools. It is making the system reliable, secure, observable, and cheap enough to trust.
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From the blog
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MCP in Production Means Solving Auth, Streaming, and Context Boundaries
Model Context Protocol has become a useful interface layer for tools, but the production work starts after the demo: auth, context shaping, multi-server routing, and streaming semantics.
RAG Is Not the Default: Decide When Retrieval Actually Helps
A retrieval step can improve an AI application, but it can also increase cost, latency, and hallucination surface area. The real engineering question is when retrieval earns its place.
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