Or simply we use AI and see on the ground what it can and can't do. I can generally trust an agent for solved problems, but the more something deviates from established industry standards (i.e. what was relentlessly scraped) I have an increasingly harder time not having constant oversight of what it's doing, no matter the specs I put on the md.
Personally I feel most of the improvement in the last year comes from tooling/integration (MCPs, realtime documentation access, treesitter support, orchestration) than from the models themselves, in the last year. And still frontier models would routinely come up with bs until you tell them to actually use those tools.
Personally I feel most of the improvement in the last year comes from tooling/integration (MCPs, realtime documentation access, treesitter support, orchestration) than from the models themselves, in the last year. And still frontier models would routinely come up with bs until you tell them to actually use those tools.