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Yes, and that’s what a coding agent is too. Technically an agent is not (just) an LLM, but the two have become synonymous is discussions.


> that’s what a coding agent is too.

Not quite.


An AI agent mutates state (the repository) in order to get some metric (e.g. test suites) closer to passing. Same thing, really.


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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