Comment by _pdp_
5 hours ago
I am not saying that they do not work.
What I am saying is that they do not handle many things that we handle internally and yes our code is not open source so I have the luxury to compare notes without revealing much how we do things... sorry about this.
The reason opencode and pi.dev are not handling a lot of the edge-cases is because they are primarily designed to run in a constraint mode with some level of human intervention assumed and while you can certainly make them run in yolo mode I don't believe this is most of their usage. OpenClaw is like that but then look at the code behind it - it is enormous. Most of it is mysterious to me.
Our tool is my bio. But for open source opencode and pi.dev are the best and most widely used.
Personally I prefer my harness to be open source. So Opencode/pi.dev seem the best for me.
I suppose that as your original comment mentioned Kimi being a nice model with a good harness, My personal opinion suggests for me saying that Kimi with opencode might make it competent model too. Although currently I just use the model provided by default on opencode and I have found it to be competent for small codebases itself, although you definitely have to ask it to git/jj.
The Opencode default model consensus seems to be GLM 4.6 and Kimi 2.6 is definitely much more competent model
I think that tools like Opencode might continue getting better too given its open nature if/as the harness itself turns out to be the most valued piece for a model's competence as you suggested, so I am betting on Opencode and I really appreciated this discussion we had as It was great to know insider insights and I wish you good luck for your product!