Building a multiplayer card game taught me that the hard part is not drawing cards on screen; it is keeping every player’s view consistent while the server decides what can happen. In a retrospective on Dealopoly, a real-time platform for games including Monodeal and Lowdeck, Shubham Saurabh describes lessons about authoritative game rules, hidden information, reactions, reconnects, and testing. These are observations from one project, not a universally proven architecture.
Make the server the authority on every move
A browser should ask to make a move, not decide that the move is legal. A player might send a command to play a card, choose a target, or act during a particular phase. The server that owns the current game state checks whether that command is allowed, applies the rules if it is, and then sends the resulting update to the players.
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This boundary matters because a client can be modified, out of date, or disconnected from what the server considers current. If the browser is trusted to enforce rules, a player can bypass that logic or submit an action based on stale information. Saurabh summarizes the principle: “The client can request an operation, but the system that owns the state should be responsible for deciding whether it happens.”
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In Dealopoly’s reported design, the game engine is separate from the Fastify WebSocket server. The engine takes a state and a command, then returns either a rejection or an updated state and events. The WebSocket layer handles communication; it does not need to contain the rules themselves.
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That separation makes rule logic easier to exercise without starting a browser, WebSocket server, Redis, or database. It also creates a clearer place to test individual rules and sequences of actions. The author describes rule modules for setup, drawing, property, rent, payment, reactions, and win conditions. The exact module boundaries will vary by game, but isolating rules from transport gives tests a smaller, more direct target.
Model reactions as part of the game state
Some actions do not resolve immediately. An action may open a window for another player to react, be countered, or continue to its final effect. Dealopoly’s account treats this as a state machine rather than a temporary animation or UI condition.
That distinction helps the server answer precise questions: who may respond, what responses are legal, and what happens when the window closes? If a reaction can interrupt an operation, the intermediate state is part of the rules and must be represented explicitly. Otherwise, clients and the server can disagree about whether the original action has already happened.
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Send each player only the information they may see
The server’s complete state may include information that should remain secret, such as other players’ hands. Saurabh describes generating a masked, player-specific view from the same underlying game state instead of broadcasting the full state to everyone.
This is both a presentation and an authorization decision. Hiding a card only in the interface is not enough if the data has already been sent to the client. The server should construct each player’s view so that private information is absent, while public information remains consistent across the room.
Decide what a disconnect means before it happens
A dropped connection changes the game, not just the screen. Dealopoly reportedly tracks room membership and disconnect status, allows a grace period for a player to return, and can replace a disconnected player with a bot after that period. Those choices shape the experience: a short interruption can be recoverable, while a longer absence needs a defined outcome.
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Reconnect behavior therefore belongs in the game’s rules and state model. The system needs to know which player is returning, what state they are allowed to see, and whether the game continued or paused while they were away. The appropriate policy depends on the game; the important lesson is to make the transition explicit rather than treating reconnection as an incidental UI feature.
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Separate fast coordination from durable records
The author describes using Redis for room state, active-room indexing, disconnect timers, and Pub/Sub coordination between server instances. PostgreSQL is described as the store for longer-lived records such as player data, game history, statistics, and leaderboards.
The useful design question is how long each piece of data must live and what needs to coordinate across servers. Room and turn state may need fast updates and short-term coordination; history and account records need persistence beyond a live session. The project’s division is one example, not a requirement that every game use the same pair of technologies.
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Use the same rules for bots and humans
Dealopoly’s bots reportedly submit legal commands through the same game engine as human players. This avoids giving a bot a special route around validation: both kinds of player interact with the rules through commands, and the engine decides what is permitted.
That shared path can also make behavior easier to inspect. When an unexpected state appears, the relevant question remains what command was submitted and how the engine handled it, rather than whether a separate bot implementation changed the state differently.
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Saurabh recommends running simulations and using deterministic seeds to reproduce failures. A seed lets a test run the same randomized setup again, which is useful when a bug only appears after a long sequence of draws, moves, and reactions.
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Simulations can also check whether extended play produces impossible states. They are a debugging aid, not proof that every rule or edge case is correct: the value depends on what scenarios are exercised and what invariants the tests check. The practical goal is to turn a hard-to-repeat report into a repeatable sequence that can be fixed and kept as a regression test.
What the project’s lessons add up to
The through-line is explicit state ownership. The server validates commands, the engine applies rules independently of networking, and each player receives only an appropriate view. Reactions and disconnects become modeled transitions, while tests and simulations help examine the paths between states.
Those decisions are useful questions for any multiplayer game, but the Dealopoly account is a single project retrospective. It does not establish that its particular stack or architecture is best for every game, nor does it independently verify performance or security.
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