Instead of using AI as a consultant for design decisions, developers can ask goal‑oriented agents to autonomously implement multiple design variants, then compare outcomes. This makes execution cheap relative to human design judgment and forces new practices around specifying success criteria, automated testing, and audit trails.
— If engineers routinely rely on agents to explore-and-select designs, that will change labor skills, liability, quality assurance, and regulatory needs in software and beyond.
Arnold Kling
2026.03.08
100% relevant
Steve Newman’s advice: have the agent generate six options, code all six, and choose the best — plus the need to explicitly define success — exemplifies this shift.
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