
AI Agents in Production: Architecture, Tools, Memory and Guardrails
AI agents in production need clear tool boundaries, durable state, scoped memory and tested recovery. Build an architecture that makes failures understandable.
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Notes on LLM and RAG systems, MLOps, data engineering and the craft of shipping software that has to keep working.
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2 articles of 38

AI agents in production need clear tool boundaries, durable state, scoped memory and tested recovery. Build an architecture that makes failures understandable.
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Choose multi-agent orchestration patterns by dependency, ownership and failure behavior. Learn how LangGraph state, routing and checkpoints support reliable workflows.
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If one of these posts is close to a problem you have, tell me about it - I’m happy to compare notes.