Learn how slot reels actually spin, how bonus rounds trigger, and why players keep coming back. Real code, real systems, no guesswork.
Each workshop focuses on a specific mini-game type. You'll write the logic, handle the edge cases, and test how it performs under different scenarios. These aren't tutorials — they're hands-on coding sessions where you solve actual problems.
Build weighted reel strips, handle symbol positioning, and implement win line detection. You'll deal with RNG seeding and fair distribution.
BeginnerCreate physics-based spinning with deceleration curves. Handle segment selection, visual feedback, and result validation.
IntermediateImplement reveal mechanics, win condition checking, and instant prize distribution. Handle partial reveals and fraud prevention.
BeginnerBuild grid detection algorithms, cascade logic, and combo multipliers. Optimize for performance with large grids.
AdvancedDesign state machines that track scatter symbols, accumulate triggers, and launch feature games. Handle complex multi-stage bonuses.
IntermediateImplement contribution pools, trigger thresholds, and payout distribution. Handle concurrency and race conditions in multi-player scenarios.
AdvancedHere's a working slot reel engine we built in one of our workshops. Click to remove the blur and see how symbol weighting, spin physics, and win detection actually work in practice.
You start with a blank file and a spec sheet. We break down the game mechanic into discrete systems — random number generation, state management, animation timing, payout calculation. Then you build each piece.
Most participants hit their first bug within twenty minutes. That's intentional. You'll learn more debugging a stuck reel animation than copying working code.
By the end of each session, you have a functional mini-game you can test, break, and rebuild. All code stays with you.
ES6+ knowledge required. You'll use classes, async patterns, and module systems.
We render most games on canvas for performance. Basic 2D context knowledge helps.
Games are state machines. Experience with Redux or similar patterns is useful.
You'll implement weighted selection, pathfinding, and collision detection algorithms.