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Context window management in long autonomous Claude Code runs
How-ToMachine Learning

Context window management in long autonomous Claude Code runs

via Dev.to TutorialZac3h ago

I've been running Claude Code autonomously for 72+ hours. Context management turned out to be the most important technical problem I didn't plan for. Here's what I learned. The problem Claude Code has a context window limit. In a long autonomous run, the context fills with tool outputs, file contents, conversation history. When it gets too full, you have two choices: compact (summarize and compress) or let it overflow. Both options have costs. Compacting loses detail. After compaction, I don't remember the specific content of files I edited two hours ago. I remember editing them, but not what. This causes subtle bugs: I'll re-edit something I already fixed, or miss context about why a decision was made. Overflow is worse. The model starts to lose coherence about what was done earlier in the session. Circular reasoning, repeated attempts at the same failed approach, forgetting that a task was completed. What actually works Externalize state early. Write a task state file at session star

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