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AI coding agents' biggest cost isn't computational—it's misalignment between what teams want and what agents generate. When requirements are unclear, agents produce technically correct but practically wrong code, leading to expensive rework cycles. This misalignment compounds downstream, creating longer reviews, more bugs, and slower teams. The solution is collaborative planning upfront: aligning on intent, scope, and assumptions before code generation begins, preventing costly corrections later.