Definition
Context Rot: The gradual degradation of an AI system's usefulness as the context it relies on becomes stale, incomplete, or outdated.
65% of agent failures come from context drift, not token limits. Here's how context compression keeps long-running AI agents on track.
AI agent memory fails because it's a context engineering problem, not a storage problem. Research reveals three failure modes and what actually works.
84% of developers use AI coding tools, but only 29% trust the output. The problem has less to do with models and more to do with codebase context.
AI doesn't forget because it's broken — it forgets because everything gets crammed into one place. Here's the technical explanation and how to fix it.
Research shows LLMs drop from 95% to 60% accuracy as context grows stale. Here's how context rot degrades AI performance and why bigger windows won't help.