Harness engineering is emerging as a critical approach to scaling autonomous AI agents reliably, focusing on building structured environments rather than improving models themselves. This shift matters because it addresses the limitations of foundation models in handling complex workflows by designing robust validation and governance systems around them, making it essential for developers and tech professionals deploying AI in high-stakes domains.
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