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As models get smarter and more capable, the "harnesses" around them must also evolve.
This "harness engineering" is an extension of context engineering, says LangChain co-founder and CEO Harrison Chase in a new VentureBeat Beyond the Pilot podcast episode. Whereas traditional AI harnesses have tended to constrain models from running in loops and calling tools, harnesses specifically built for AI agents allow them to interact more independently and effectively perform long-running tasks. Chase also weighe
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VentureBeat
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07.05.2026 11:41
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