High upfront cognitive cost and role shift in agentic coding for software developers

Developers using agentic coding face a higher upfront cost as they must externalize mental models, architecture, and constraints before AI can generate code, shifting their role from precise implementation to problem definition and QA. This requires more pre-planned execution and increases cognitive load in planning and evaluation phases. The transition reduces on-demand coding but introduces new challenges in context switching and quality assurance.