Construcción de un motor de puzzle sencillo: estados, reglas y transiciones
Creating a simple puzzle engine is one of the best ways to understand how casual games work behind the scenes. Whether you’re prototyping a new mechanic or building your first mobile title, focusing on states, rules, and transitions gives you a clear foundation for scalable puzzle logic. In this article, I’ll guide you through the essential components of a basic puzzle engine and show how they interact in a clean, predictable system.
If you want to see how a polished puzzle experience feels from the player’s perspective, try solving a jigsaw puzzle to observe how smooth state transitions enhance gameplay.
Understanding the Core Building Blocks
A puzzle engine revolves around three critical elements: states, rules, and transitions. Each part must be simple enough to manage yet flexible enough to support complexity as your puzzle grows.
1. States: The Snapshot of Your Puzzle
A state represents the entire configuration of the puzzle at a given moment—tile positions, available moves, score, timers, or anything else the game tracks. Clear state management allows you to rewind moves, test scenarios, or detect valid/invalid positions.
Common elements stored in a puzzle state
- Grid layout or board representation
- Current player selections
- Move history or undo information
- Goal progress (matches, cleared cells, solved patterns)
A good rule of thumb: if the player can see it, the state should track it.

Defining the Rules of the Puzzle
Rules describe what the player can do and how the puzzle responds. Without clear rules, the engine becomes unpredictable or inconsistent, making gameplay confusing.
Types of rules to define
- Input rules: what interactions are allowed (tap, drag, swap).
- Movement rules: how pieces move or behave after input.
- Validation rules: conditions that must be satisfied for the move to be accepted.
- Goal rules: the logic for determining when the puzzle is solved.
Example: movement validation
| Condition | Result |
|---|---|
| Tile is adjacent to empty slot | Allow movement |
| Tile is blocked by another piece | Reject movement |
| Move creates a valid pattern | Apply score or trigger effect |
These rules are the “laws of physics” inside your puzzle world.
Handling Transitions Between States
Transitions describe how the engine moves from one state to the next. Each transition should be deterministic: the same input should always produce the same output. This makes debugging easier and helps players learn predictable behavior.
The transition cycle
- Input: player performs an action.
- Validation: engine checks if the action obeys the rules.
- Execution: engine applies the change to the state.
- Post-processing: animations, scoring, or chain reactions.
By following this sequence, transitions remain clean and traceable, even in advanced puzzles with cascades or combos.
Prototyping the Engine Logic
Before writing full gameplay code, I prototype states, rules, and transitions in pseudocode. This helps me visualize edge cases and avoid unnecessary complexity.
Example pseudo-engine
state = initializeGrid()
onPlayerAction(action):
if validate(action, state):
newState = apply(action, state)
newState = processEffects(newState)
state = newState
Even a minimal structure like this can power surprisingly complex puzzle behavior.
Testing and Iterating the Puzzle Engine
Once the basic engine works, I perform targeted testing to ensure reliability. Puzzle engines often break at the edges—diagonal moves, simultaneous triggers, or improperly reset states—so testing must be thorough.
Testing checklist
- Every valid input produces a valid new state.
- Invalid inputs never corrupt the state.
- Undo and reset actions work consistently.
- Cascading effects resolve in the correct order.
Collecting early data from user testing also reveals unexpected patterns or exploits in the logic.
Reflexiones finales
Building a simple puzzle engine becomes much easier once you understand the relationship between states, rules, and transitions. These three core elements form the backbone of any puzzle mechanic, from sliding tiles to match-three setups and logic grids. With a clean structure and predictable behavior, your puzzle engine becomes easier to extend, optimize, and polish into a full gameplay experience. Start simple, iterate quickly, and let the engine grow with your ideas.

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