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Current evaluations of coding agents may mismeasure performance by conflating action, task, and step levels, revealing a critical flaw in how we assess agent execution.
DeepDiscovery boosts task-relevant file recovery by up to 9.2 percentage points, transforming how coding agents navigate complex industrial codebases.