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I've used Augment to make the jupyterize tool using the spec-driven approach outlined here again. The tool has been through several iterations and seems to be fairly useful/reliable for the few simple cases I've tried, but it will probably require some real-world usage before it can be used in a fully automated tool chain to update notebooks from doc examples (and maybe we want to rewrite it in Rust or something for production usage?)

There's a quickstart guide and a longer README in the build/jupyterize folder. The spec is intended for AI use and is probably too long and boring for a human reader to bother with. All feedback welcome :-)

@andy-stark-redis andy-stark-redis requested review from a team and paoloredis October 21, 2025 09:07
@andy-stark-redis andy-stark-redis self-assigned this Oct 21, 2025
@andy-stark-redis andy-stark-redis added the clients Client library docs label Oct 21, 2025
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github-actions bot commented Oct 21, 2025

DOC-5831

@andy-stark-redis andy-stark-redis marked this pull request as draft October 21, 2025 13:07
@andy-stark-redis andy-stark-redis marked this pull request as ready for review October 21, 2025 14:02
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@cmilesb cmilesb left a comment

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Cool script! Looks okay to me, but maybe someone else should take a closer look.

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2 participants