Model each puzzle with distinct states such as idle, armed, partially solved, solved, and locked-out. Use guards to prevent regressions and require explicit resets after completion. Persist critical states so brief power interruptions do not erase progress. Expose a master reset function that reinitializes props, lights, and locks in one operation. Annotate transitions with analytics to understand where teams struggle. Keep the structure human-readable, with comments that explain intent rather than implementation trivia. When logic is discoverable and maintainable, rapid iteration becomes painless, and reliability naturally rises with every playtest and tweak.
Model each puzzle with distinct states such as idle, armed, partially solved, solved, and locked-out. Use guards to prevent regressions and require explicit resets after completion. Persist critical states so brief power interruptions do not erase progress. Expose a master reset function that reinitializes props, lights, and locks in one operation. Annotate transitions with analytics to understand where teams struggle. Keep the structure human-readable, with comments that explain intent rather than implementation trivia. When logic is discoverable and maintainable, rapid iteration becomes painless, and reliability naturally rises with every playtest and tweak.
Model each puzzle with distinct states such as idle, armed, partially solved, solved, and locked-out. Use guards to prevent regressions and require explicit resets after completion. Persist critical states so brief power interruptions do not erase progress. Expose a master reset function that reinitializes props, lights, and locks in one operation. Annotate transitions with analytics to understand where teams struggle. Keep the structure human-readable, with comments that explain intent rather than implementation trivia. When logic is discoverable and maintainable, rapid iteration becomes painless, and reliability naturally rises with every playtest and tweak.
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