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by josh_p
74 days ago
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I've been pretty satisfied using oh-my-openagent (omo) on opencode with both opus-4.6 and gpt-5.4 lately.
The author of omo suggests different prompting strategies for different models and goes into some detail here.
https://github.com/code-yeongyu/oh-my-openagent/blob/dev/doc...
For each agent they define, they change the prompt depending on which model is being used to fit it.
I wonder how much of the "x did worse than y for the same prompt" tests could be improved if the prompts were actually tailored to what the model is good at.
I also wonder if any of this matters or if it's all a crock of bologna.. |
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definitely not bologna, at least anecdotally :)