AI is changing developer work. Here are three skills to strengthen.

AI is shifting developers’ roles from primarily writing every line of code toward defining problems, supplying context, coordinating AI agents, reviewing generated work, and making final technical decisions. Developers are encouraged to learn how to direct AI effectively, particularly as agents can independently produce implementation, documentation, and tests for tasks such as adding authentication. Because AI-generated answers may contain errors, omissions, or performance issues, the text recommends using additional models to critique outputs while relying on human expertise to assess code quality, maintainability, and tradeoffs. By reducing implementation time, AI can also allow developers to focus more on customer needs, architecture, accessibility, success metrics, and other higher-level decisions where human judgment remains essential.

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