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6 articles
Deep dive into core agent patterns: ReAct loops, Plan-Execute-Observe, reflection mechanisms, and preventing infinite loops with real TypeScript implementations.
Build multi-agent systems using supervisor-worker patterns, agent specialization, shared state management, and result aggregation with LangGraph.
Orchestrate AI pipelines with Temporal for durable workflows, Prefect for data + AI, or Airflow for batch jobs. Handle retries, human approval, and cost tracking.
Build production-grade stateful agents with LangGraph: graph definitions, Postgres checkpointing, human interrupts, streaming, error handling, and deployment.
Master advanced LLM chaining patterns including sequential, parallel, conditional, and map-reduce chains. Learn to orchestrate complex AI workflows in production.
Build scalable multi-agent systems using the orchestrator-worker pattern. Learn task routing, state management, error recovery, and production deployment patterns.