Yes, the signal we are measuring is quite different from most evals.
We are measuring sth much closer to: when multiple agents compete on the same spec, which one produces the patch that holds up best in code review?
Most evals are static / synthetic, and for code, generally stop at tests. Test evals are weak proxies for quality since it's difficult to encode qualities like scope creep/churn, codebase fit, maintainability etc in tests. [1]
Almost every agent in a given run can pass tests at this point, but there is large separation during review.
Ok, but my point is that the claims you make about more reasoning performing worse seems kinda suspicious and I haven't seen any analysis exploring why that would happen.
I get it, but that is a significant claim. And the claim could be right, but it could also be wrong, and I see no analysis, not even a blog post on your website saying "wow, look at this weird thing we found". To me that makes the claim suspicious because it signals that nobody thought to investigate what's going on. Investigating weird results is how we demonstrate that what we're doing is right.
We are measuring sth much closer to: when multiple agents compete on the same spec, which one produces the patch that holds up best in code review?
Most evals are static / synthetic, and for code, generally stop at tests. Test evals are weak proxies for quality since it's difficult to encode qualities like scope creep/churn, codebase fit, maintainability etc in tests. [1]
Almost every agent in a given run can pass tests at this point, but there is large separation during review.
[1] https://voratiq.com/blog/your-workflow-is-the-eval