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Context Engineering provides a structured framework for maximizing Claude Code's performance by managing its finite context window. It empowers developers to track token consumption, identify heavy context consumers, and implement advanced optimization patterns like progressive disclosure and planning-execution separation. By applying these systematic strategies, users can achieve up to 95% token savings on large data tasks and maintain high conversation quality during complex, multi-turn development sessions, effectively preventing context overflow and reducing API operational costs.
