Just wanted to share that using GPT-5 Pro to rewrite my prompts on my pipelines for Openhands + GPT-5 has made a ton of difference. if you are running something custom on top of openhands and you have a very prompt heavy solution. be sure to try using the prompting guide + your current prompt and getting gpt-5 pro to rewrite it.

Are you switching to GPT5 as your new standard?

Experimenting it... I fully switched for now, but depending on users reports I might go back.

Makes sense, thanks My main issue is thinking we will have to rewrite every microagent anytime we make an LLM Switch

Yeah, but I only plan to switch when it is worthy. So far nothing beats claude. now it is different, even with everything against it , gpt-5 beat claude... and people are figuring out small changes that even improve the result.

Yea, we will see if Anthropic drops the price of Claude 4 in a reaction move

I am curious to see what would be the result of using sonnet with this gpt-5 prompt... I’m curious how Sonnet will perform once we adapt the prompts for GPT-5’s style. Will it match GPT-5’s score on what were originally “Sonnet-optimised” tasks? And when the tables turn, will reviewers stay as unforgiving toward non-GPT-5 models?

FWIW I see some reports in the wild, and so far it seems to match my experience, that GPT-5 is more prompt-sensitive than Sonnet 4. e.g. Sonnet dealt a bit better with ambiguity, but if people tell GPT-5 what to do, it does it

100% , I had some instructions repeated in different flavors to convince sonnet 4. With gpt-5 I removed the bulk of it.

DSPy is intended to create an abstraction layer between the LLM + prompt and the desired behavior, so that you can more easily switch LLMs