Why condensing your agent's history quietly causes infinite action loops, and the architectural fix to separate lossy reasoning from irreversible state mutations.
∙ Paid
You’re in an AI Agent Engineer interview at Anthropic and the interviewer asks:
“Your coding agent keeps overflowing the context window. You add LLM summarization to condense old steps, cost drops 2x on SWE-bench. But now the agent opens the same pull request three times. What did summarization actually break, and how do you fix it without losing the sav…
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