This is something I have found missing in my current workflow when reviewing PR's. Particularly in the age of large AI generated PR's.
I think most reviewers do this to some degree by looking at points of interest. It'd be cool if this could look at your prior reviews and try to learn your style.
Is this the correct commit to look at? https://github.com/manaflow-ai/cmux/commit/661ea617d7b1fd392...
Thank you. This is a pretty cool feature that is just scratching the surface of a deep need, so keep at it.
Another perspective where this exact feature would be useful is in security review.
For example - there are many static security analyzers that look for patterns, and they're useful when you break a clearly predefined rule that is well known.
However, there are situations that static tools miss, but a highlight tool like this could help bring a reviewer's eyes to a high risk "area". I.e. scrutinize this code more because it deals with user input information and there is the chance of SQL injection here, etc.
I think that would be very useful as well.
This is a very interesting idea that we’ll definitely look into.
https://github.com/manaflow-ai/cmux/blob/main/apps/www/lib/s...
This file has most of the logic, the commit you linked to has a bunch of other experiments.
> look at your prior reviews and try to learn your style.
We're really interested in this direction too of maybe setting up a DSPy system to automatically fit reviews to your preferences