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All tested coding agents fail within 5-6 turns, but providing feedback can boost their performance by up to 12x, revealing critical insights into agent design.
LLMs can maintain performance while skipping global attention for 80% of tokens, slashing compute costs and memory footprint in long-context scenarios.
