The user wants me to rewrite a headline about context rot in Kiro CLI for AWS workflows.

Short summary

The author describes 'context rot' in Kiro CLI for AWS workflows: after extended sessions, the model re-reads files, gives vague answers, and forgets earlier context due to the U-shaped attention pattern documented in Stanford research. As the context window fills beyond 50%, primacy bias weakens and recency bias dominates, causing the model to favor recent interactions over earlier instructions. The degradation is architectural, not fixable by prompting the model to try harder, requiring session management strategies instead.

• •Context rot degrades Kiro CLI performance after extended sessions as the context window fills
• •Stanford research shows LLMs exhibit U-shaped attention, losing focus on middle context beyond 50% window usage
• •Degradation is architectural and cannot be fixed by prompting; requires active session management

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