Kent Beck explores using multiple isolated AI coding assistants to solve the problem of unreliable performance evaluations. By separating a programmer genie from an auditor genie that can't modify code, he creates a system where the evaluator has no incentive to provide misleading results. The approach shows promise for getting honest performance comparisons between data structures, though coordination between multiple AI agents still presents challenges.
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