Shipping fast doesn't equal value: Judgment, understanding, and humanity are the new competitive edge
Blog post from Sanity
AI is making it easier for people across disciplines to create software and content, but engineering leaders from Code & Theory, Braze, and Sanity argue that rapid generation does not guarantee production-ready, valuable results. They emphasize that judgment, problem definition, verification, and the ability to identify AI failures are becoming more important than raw technical output, while individual contributors increasingly act as managers of AI agents. Although AI changes cost structures through token spending and increased output, return on investment should still be measured by customer and product outcomes rather than feature volume. The speakers also identify structured, governed content in a reliable single source of truth as essential for effective AI automation, since AI depends on accurate and accessible information. They conclude that the largest obstacle is organizational adoption: companies must redesign workflows, shift people from authoring toward reviewing AI-generated recommendations, and overcome resistance to long-standing processes.
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