Joe running in Slack is indeed a way to simplify and speed-up SQL optimization workflow for developers, as it takes seconds to get initial query execution plans and optimization recommendations.

>... With a Slack interface, so you don't need to bother with connection, provisioning, credentials and decommissioning.

It's worth noticing that Joe is a use case of Database Lab (https://gitlab.com/postgres-ai/database-lab) and it's still possible to use Database Lab features like thin-clones provisioning of production-sized databases and fast data state reset with Database Lab client CLI (https://postgres.ai/docs/database-lab/6_cli_reference) for purposes of SQL optimization without Slack integration. If a user has sufficient access to the data they can provision thin-clone with Database Lab client CLI and use psql to work with the clone.

Also, we have plans to add support of recommendations and statistics in CLI and REST API to the support of various messaging platforms in the future.