[chudi]

This is great! Really good work. It reminds me of working in a SmallTalk environment and coding inside the debugger while an exception is being thrown and restarting the computation.

I believe that this path can be supported as it is right now, and the next step would be to store a computation on some server. If an uncaught exception is raised, store all the computation along with the state, transfer it to your local machine, and restore the state of the machine as it was when the exception was thrown. This way, you can debug the state of the program with all the live variables as it was being run.

[amakelov]

Thanks! Indeed, despite the fact that the main goal is to track ML experiments, the approach taken in `mandala` has a lot in common with e.g. time-travel debugging (https://en.wikipedia.org/wiki/Time_travel_debugging).

In reality, there are many similarities between experiment tracking, debugging, and high-level computation graphs - they're all different ways of getting a handle on what a program did when it was ran.