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a weird inversion with LLMs is the models improve faster than the tinkerers when i see people with custom workflows and setups they're all addressing problems that don't exist anymore the person naively using vanilla codex is more likely to be experiencing state of the art

My setup is just a cloud runner / orchestrator that shepherds things along and performs various checks and review sweeps until they’re ready for human review. Is that too much these days? No idea what other people are doing

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