Agent Engineering: A New Discipline

Langchain··Submitted by Mads Kristian Nylund
AI DevelopmentAI InfrastructureAgent Engineering

Agent engineering is the iterative process of refining non-deterministic LLM systems into reliable production experiences, combining product thinking, engineering, and data science to create systems that reason, adapt, and behave unpredictably. It involves continuous iteration, observation, and refinement based on real-world performance, with the goal of improving reliability through production feedback. Teams focus on building infrastructure, defining evaluations, and writing prompts to ensure agents can handle complex workflows and unpredictable inputs effectively.

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