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The article argues for a "backpressure" approach to using AI coding agents—neither fully unattended (risky) nor requiring human review of every step (slow), but rather building automated validation mechanisms that force agents to catch and fix their own errors before human review. By applying lessons from software engineering like automated tests, type checking, and linting, teams can enable longer unattended agent sessions while reducing low-quality pull requests that humans must review.
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