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An AI agent isn't an evolutionary optimization loop.

It is when you’re using it right. The most effective way to use an AI agent is to give it a metric for success (ideally tests, but even a description of success), a state upon which it can effect changes (the repo) and it moves the state towards success by executing tool calls and evaluating the success criteria at each step.

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