listudy VS meal-scheduler

It comes with experience. There is a website called listudy.org that has a section called “Blind Tactics” that might help with visualization.

Listudy: Memorise openings with spaced repetition. Chess Endgame Training Chessercise: Practice chess with YouTube. Chess Madra: Build and practise an opening repertoire. Aimchess: Learn your strengths and weaknesses.

If you are trying to practice a certain opening, I would highly recommend listudy.org just to build that spaced repetition in your head.

I find https://listudy.org very useful for drilling lines. I don't see it mentioned often, but it allows you to import any lichess study (selfmade or other) into it and it'll pick a random line that's up to you to correctly play out until the end. Works very well if you do it enough

I use private Lichess Studies to store/build my repertoire. Start "choosing" your preferred responses to various opening moves and store them there. Start 1 move deep at a time and branch out slowly. At low level of play it's actually better to go just a few moves deep and have some canned responses to common bad moves from your opponents. You can import your lichess study into listudy.org which turns your saved opening prep into spaced repetition exercises to practice.

listudy.org

Second, you can check out https://listudy.org which can do this with lichess studies.

I use Minizinc in a personal toy project (https://gitlab.com/dustin-space/meal-scheduler), and GECODE or Google's ortools solver at the backend. It's used for meal planning. Unfortunately it's way way slower than I'd hope. I suspect I just have the domain not modeled efficiently. Maybe if I had a few days to put into it, and learn how to properly debug the CSP solver step by step, it might help...

That sounds like a fun application, both the usage and the implementation.

I wonder if you have any interesting example data-files that could be used with the model, preferable both something small and something larger? Would be fun to test the model locally to see how it behaves.

Notes: I'm assuming here that https://gitlab.com/dustin-space/meal-scheduler/-/blob/master... is the model used.