Who contributed to anurag629 on April 19, 2022?

1 developer shipped this update, including Anurag verma.

What were the notable anurag629 updates?

Initial commit, created random colors for 5*5 matrix, and bord draw complete.

@anurag629

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Tuesday, April 19, 2022

Color matching game built in Python

By RepoJournal , from @anurag629's public GitHub activity

Backfilled

1 person shipped this

Anurag verma @anurag629 5 cited

Anurag Verma built out the core visual structure for a color matching game, setting up the board, matrix, and color palette ahead of implementing the matching logic.

Work on Color-Matching-Game-in-Python started from scratch [1]. Verma generated random colors to fill a 5x5 matrix [2], then drew the board to display them [3]. He added a color plate interface [4] to support gameplay. The UI and grid layout were complete [5], leaving only the logic to swap and match colors still to be written.

References

[1] Initial commit anurag629/Color-Matching-Game-in-Python
[2] created random colors for 5*5 matrix anurag629/Color-Matching-Game-in-Python
[3] bord draw complete anurag629/Color-Matching-Game-in-Python
[4] created color plate anurag629/Color-Matching-Game-in-Python
[5] all done except logic to change the colors anurag629/Color-Matching-Game-in-Python

Quick answers

What shipped in anurag629 on April 19, 2022?: Anurag Verma built out the core visual structure for a color matching game, setting up the board, matrix, and color palette ahead of implementing the matching logic. In total, 5 commits landed.
Who contributed to anurag629 on April 19, 2022?: 1 developer shipped this update, including Anurag verma.
What were the notable anurag629 updates?: Initial commit, created random colors for 5*5 matrix, and bord draw complete.

Model catalog switched to models.dev

Anurag Verma replaced two drifting hand-maintained lists with a live feed from models.dev, fixing pricing data that was off by 3x for some models.

2 shipped

@anurag629 Aug 3

Session storage overhaul and per-model system prompts

Anurag Verma landed two major features in quantized-ai/luca-py, moving session files out of project directories and adding model-aware prompts to the agent.

4 shipped

@anurag629 Aug 2