Cognitive load in software engineering extends beyond technical complexity to include team composition, dependencies, work environment, and organizational structure. Research identifies four key clusters driving cognitive load: team composition, work complexity and goal clarity, tooling and workflows, and physical environment. High cognitive load results in slower delivery, more incidents, and increased burnout risk. Managing cognitive load appropriately—not eliminating it—involves organizing teams for autonomy, reducing unnecessary dependencies, and being intentional about when to accept temporary increases (like learning new skills). Platform teams should focus on reducing cognitive load for product teams through well-integrated tools and clear responsibility boundaries.
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