8 AI Agent Buzzwords Decoded by a Developer Who Runs Them in Production

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A developer who builds and runs AI agent workflows in production has broken down eight commonly misunderstood terms used in the field. An 'agent' is described not as an intelligent entity but as a simple loop where a model reads a state, picks an action, uses a tool, and repeats. Key concepts like context windows, ReAct loops, and idempotency are explained in plain terms to cut through industry hype. The piece also highlights that a significant portion of real-world agent runtime is spent on retries due to blocked or changed web content. The author notes that 'human-in-the-loop' is the more honest label for what most call autonomous agents, as they frequently pause to seek human input.

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ProgrammingDEV Community ·

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