Solstice Cipher: a light-routing puzzle for the June Solstice Game Jam

This is a submission for the June Solstice Game Jam.

What I Built

Solstice Cipher is a small browser puzzle game about the longest day, code-breaking, and the turning point between signal and shadow.

The player rotates mirrors to route a solstice beam through every cipher node before landing on the final beacon. Each level is a tiny circuit of light: if the beam misses a cipher gate, the beacon does not unlock.

The game is inspired by a few June themes from the challenge prompt:

the June solstice and the long arc of daylight
light versus darkness
turning points
Alan Turing, code-breaking, and computational thinking

Demo

Demo video: watch in browser / direct MP4

Playable game: https://desciple88.github.io/solstice-cipher-devto-game-jam/

Source code: https://github.com/desciple88/solstice-cipher-devto-game-jam

How It Works

The game is a dependency-free HTML/CSS/JavaScript canvas app.

The board is a 6x6 grid. A sunbeam enters from one side of the board, moves in one of four directions, and reflects when it hits a mirror:

/ turns east to north, south to west, and so on
\ turns east to south, north to west, and so on

Cipher nodes record whether the beam visited them. A level is solved only when the beam has touched all required cipher nodes and then reaches the beacon.

Controls

Click or tap a mirror to rotate it.
Use Reset or press R to restart the level.
Use Next or arrow keys to switch levels.
Use Hint or press H if the path gets stuck.

Why the Turing Angle

I wanted the Alan Turing category to feel like part of the mechanics, not just a label. The player is effectively debugging a simple signal machine: change one reflector, trace the path, see which gates activated, and iterate until the message resolves.

It is not an Enigma simulator, but it borrows the feeling of signal routing, symbolic gates, and systematic code-breaking.

What I Used

HTML
CSS
JavaScript
Canvas 2D
ffmpeg for the demo capture

AI assistance was used while preparing the implementation and write-up. I am not entering this under the Best Google AI Usage category because I could not complete a real Google AI toolchain step during the build; the local Gemini CLI was unavailable in my environment.