All the models feel a bit different to use, and part of being good with LLMs (I suspect) is being able to assess a model before you really start using it, and, learning the nuances in the models that you will use, for that alone I think it's worth spending time with them.
"All the screwdrivers feel a bit different to use, and part of being good with screwdrivers (I suspect) is being able to assess a screwdriver before you really start using it, and, learning the nuances in the screwdrivers that you will use, for that alone I think it's worth spending time with them"
Sounds dubious to me
"All the SSRIs feel a bit different, and part of being good with SSRIs (I suspect) is being able to assess an SSRI before you really start using it, and, learning the nuances in the SSRIs that you will use, for that alone I think it's worth spending time with them"
Hm, that comparison sounds off, but not as much to me as to many other people.
"All the IDEs and text editors feel a bit different to use, and part of being good with IDEs (I suspect) is being able to assess an IDE before you really start using it, and, learning the nuances in the editors that you will use, for that alone I think it's worth spending time with them"
Sounds reasonable.
Substituting the subject back to AI coding agents, I'm struggling to make out your argument. What method of assessment would you recommend other than _starting to use_ a coding assistant model?
I guess you were referring to anecdats and reviews/posts, or were you referring to specific objective properties like context size, RAG capabilities etc?
