Thank you all for the feedback.
From your emails, these main use cases emerge:
- database management (personal games, favourite players, thematic
collections) with comments/annotations;
- engine integration, including automatic annotation of entire games;
- opening tools (Tree, Book window, Identify Opening);
- searches and statistics (Player Report, filters, etc.) for preparation
and to refine one’s repertoire.
Regarding legacy features: I think the right approach is to keep them
all for now. If any are considered for removal in the future, they will
first be flagged with a warning message, so users who rely on them can
speak up and we can explore alternatives before anything disappears.
@Bahman: I will follow your approach with interest. A solid test suite
provides a safety net that could also make it easier to use AI tools to
modernize parts of the code.
@Alan: In the latest code, in the Header Search window (bottom right)
you’ll find the “Presets” button, which replaces the old .sso files.
@Dan: I’ve always found CQL syntax a bit unintuitive; I’d like to have
something simpler and more visual.
@James and @Luciano: It would be great to have automatic updates on the
various Linux distros, as well as on Windows and macOS. It looks like
the Arch package is up to date, while Debian is still at 4.7.4. If
there’s a Fedora maintainer among the recipients...
@Thomas: the script was removed years ago, because the TWIC curator
kindly asked us to, since web views help sustain the service.
@Harry: In my view, endgame tablebases are mainly meant to be used
through engines. I typically set a very high MultiPV value and in that
way I get the same output, but via the engine.
@Gerd: I used a similar method, suggested by John Nunn in “Secrets of
Practical Chess”: create a small database containing only games from
your own repertoire. When you reach a position, the opening tree gives
you a personalised repertoire with relevant examples.
@Dan: Thanks for the offer. You may have seen that we currently use this
pipeline:
https://github.com/benini/scid/blob/github/azure-pipelines.yml
If you have suggestions, please let me know.
@Werner: Do you also use the Lichess training exercises
(https://lichess.org/training)? If so, are there limitations in the
online exercises?
Thank you all again for taking the time to share your workflows.
Bye,
Fulvio
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