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Very neat. Uses the langchain method, here are some of the prompts:

https://github.com/princeton-nlp/SWE-agent/blob/main/config/...




I’m always fascinated to read the system prompts & I always wonder what sort of gains can be made optimizing them further.

Once I’m back on desktop I want to look at the gut history of this file.


I have a git feeling this comment was written on mobile.


DSPy is the best tool for optimizing prompts [0]: https://github.com/stanfordnlp/dspy

Think of it as a meta-prompt optimizer, it uses a LLM to optimize your prompts, to optimize your LLM.


Excellent! Thanks for sharing this!




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