Context Rot
ELI5 — The Vibe Check
Context rot is when a long AI conversation has been running so long that the model is confusing old instructions with new ones, forgetting what it already did, and generally losing the plot. Start a fresh chat. Save yourself.
Real Talk
Context rot is the degradation of model output quality as conversation context grows long. Causes include attention dilution across many tokens, conflicting or stale instructions, and noise from failed tool calls. Mitigations: explicit summarization, context compaction, starting fresh sessions, and keeping high-signal context near the end.
When You'll Hear This
"I've been at this prompt for four hours — classic context rot. Restart." / "Compact the context before it fully rots."
Related Terms
Context Compaction
Context compaction is summarizing a long AI conversation down to just the important bits so the model can keep going without hitting context limits.
Context Window
A context window is how much text an AI can 'see' at once — its working memory.
Prompt Engineering
Prompt engineering is the art of talking to AI so it actually does what you want.