Database-backed debugging is great! It means that debugging can be done as a data science exercise, which is very useful when, for example, a rare confluence of external factors make the program behave badly.

Earlier examples: "Debugging in the (very) large", which describes how Microsoft used Windows telemetry, especially for debugging weird slow-down glitches. In the networking domain, where there is AppDynamics for trying to debug the interactions between network and distributed services.

I'd love to see data-science style debugging much more accessible (especially in Python). And it's great to see that you're making a serious effort to get the user experience right -- though I hope that the underlying data will also be accessible from more capable data science platforms.