Context Engineering Our Way to Long-Horizon Agents
Original excerpt
Harrison Chase, cofounder of LangChain and pioneer of AI agent frameworks, discusses the emergence of long-horizon agents that can work autonomously for extended periods. Harrison breaks down the evolution from early scaffolding approaches to today’s harness-based architectures, explaining why context engineering – not just better models – has become fundamental to agent development. He shares insights on why coding agents are leading the way and how building agents differs from traditional software development.
_Insights from this episode:_Long horizon agents are finally working, especially in coding and research:Harrison explains that agents running LLMs in a loop—once mostly a demo—are…
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