Context rot in long AI sessions can be mitigated through five key practices: clearing context at 100K tokens to maintain accuracy, using compact mid-session to preserve thread coherence, regularly deleting stale rules (e.g., weekly), assigning one skill per task to prevent agent confusion, and running process-raw before sessions to clear outdated mathematical context.
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5 Fixes for Context Rot in Long Claude SessionsHinzugefügt:
Five fixes for contacts raw and long cloud sessions. Number one, {slash} clear at 100k tokens. Past that mark, accuracy drops fast. Restart before it gets weird. Number two, {slash} compact mid-session. Keeps the thread coherent without losing the builder in. Number three, Claude MD hygiene and delete stale rules every Sunday. Old rules keep showing up in new sessions. Number four, one skill per task. Don't pile six jobs into one skill prompt. The agent gets confused and you get bad code. Number five, {slash} process before every session. It drains yesterday's math so the agent isn't fighting your old notes.
That's the That's what context engineering That's what context engineering is. Not magic, just five disciplines most builders skip.
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