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When AI Coding Agents Forget: Five Approaches to Context Rot
When you've been working with a coding agent for hours, it suddenly asks you something it answered three hours ago. That's context rot—the phenomenon where foundational information gets buried under operational exhaust, degrading agent performance. The problem now has a name and a solution landscape. This episode maps five distinct approaches teams are building: Anthropic's server-side compaction, Atlassian's structure-aware pruning, MCP compression, Skills-based lazy loading, and Letta's radical shift to persistent cross-session memory. Each represents a different philosophy about what…
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