I'd be curious about the eval methodology. In production coding tasks, the gap between benchmark scores and actual workflow integration can be significant. What does the error recovery loop look like?
Interesting approach. The key question for adoption is usually about the migration path — how painful is it for existing teams to switch, and what does the intermediate state look like?
The operational complexity is worth comparing here. The migration path and schema evolution story often matter more than raw performance numbers for teams choosing between these options.