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Much of the delay in responding to user input in the workflow is due to loading Python modules and connecting to the SQLite database. This is mitigated by lazily loading expensive modules, but there is still a lot that needs to happen in order to handle the next character in your task entry and the workflow is not as responsive as it could be.
By communicating with a short-lived python daemon rather than starting the python interpreter for each change in input, the workflow could avoid that setup cost and achieve a much more responsive experience.
The text was updated successfully, but these errors were encountered:
Much of the delay in responding to user input in the workflow is due to loading Python modules and connecting to the SQLite database. This is mitigated by lazily loading expensive modules, but there is still a lot that needs to happen in order to handle the next character in your task entry and the workflow is not as responsive as it could be.
By communicating with a short-lived python daemon rather than starting the python interpreter for each change in input, the workflow could avoid that setup cost and achieve a much more responsive experience.
The text was updated successfully, but these errors were encountered: