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LangChain CEO says AI agents hinge on context engineering

LangChain co-founder and CEO Harrison Chase said harness engineering is a key task in developing AI agents. He described a harness as an execution environment designed to let AI models loop, call tools and carry out long-running work. Chase said harness engineering extends context engineering and that the trend is to give models more control over what they see. He cited AutoGPT as an early example that faded because models could not run loops reliably.