I don't have any benchmarks avalable right now, and honestly I found pretty hard to make them considering that the workflow I have set up is not fully automated, but there is a lot of human intervention in the pre-coding phases.

I feel the problem of token wasting a lot, and actually that was the first reason I had to introduce a hierarchy for instructions, and the artfact indexes: avoid wasting. Then I realized that this approaches helped to keep a lean context that can help the AI agent to deliver better results.

Consider that in the initial phase the token consumption is very limited: is in the implementation phase that the tokens are consumed fast and that the project can proceed with minimal human intevenction. You can try just the fist requirement collection phase to try out the approach, the implementation phase is something pretty boring and not innovative.