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Thanks! Yes, we're going to build the make modern data tool with a low barrier to entry (so non-devs, non-data folks can use it) but that also works great for power users (a way better jupyter notebook, with modern IDE like capabilities - pair programming, copilot, extension, out-of-the-box linting, testing etc).

It's almost a meta thing but I think dev-tools have been getting better and better over the last 10-20 years while data tools seem to be stuck in the past. Devs, when then see friction, go build something to solve it while this tendency is much less common in data scientists, for eg.



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