We did a harness optimization on Jev. Raw it was no where near as good as deekseek, but optimized it was significantly better and a tiny fraction of the cost. https://kiln.tech/blog/auto_optimizing_jev_with_autoresearch
We did a harness optimization on Jev. Raw it was no where near as good as deekseek, but optimized it was significantly better and a tiny fraction of the cost. https://kiln.tech/blog/auto_optimizing_jev_with_autoresearch
Is this true? I'd heard loosely that the higher intelligence models are less reliant on the harness; I'm still wading into the details of those claims so maybe someone more well versed can chime in, but my expectation was the current phase of harness engineering was likely only needed temporarily. I suppose turning Opus 5.5 loose in a variety of harnesses could be a decent if anecdotal test of that?
So for 1-off tasks: use smart model and powerful harness (bash + vm). For repeated tasks used optimized harness, and the cheapest model you can get away with.