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Even frontier coding agents collapse to a 23.9% success rate when tasked with end-to-end agent construction under realistic client constraints, falling nearly 60 percentage points short of human engineers.
A unified assessment framework reveals hidden insights about agent performance, transforming how we evaluate AI systems.