context rot

Article treats context rot as a primary design constraint: 'model performance degrades as context grows because attention gets spread across more tokens, and older, irrelevant content starts to distra

Article explicitly defines and explores context rot as attention dispersion across growing tokens, causing older irrelevant content to distract from current task.

Introduces and explains context rot as a phenomenon—LLMs losing focus when fed too much data.

Article directly cites and discusses context rot as failure mode when context window gets exhausted with low-relevance information

Article names 'context rot' as the failure mode when context windows exceeded reasoning capacity—this is the phenomenon that context engineering must solve.

Article identifies context rot as real problem affecting both tool usage and product design. 'context rot article where we learned how to manage the context window in Claude Code'

Identifies performance degradation as tokens increase—practical manifestation of context management challenge.

Author names 'context rot' as a specific failure mode—models suffer quality degradation even when using full context window. This validates that context management is not just about fitting informatio

Article explicitly defines and cites research on context rot—accuracy degradation as input length increases

Identifies context rot as a failure mode caused by missing, stale, conflicting, or irrelevant context—a concrete manifestation of intelligence not compounding.

Article names and explains context rot phenomenon—performance degradation at unpredictable lengths. This is a key constraint for context engineering practice.