Bug Tracking for Auto Chess Games

Auto chess games hide enormous complexity behind a calm-looking board. Behind the scenes there is a shared unit pool that all players draw from, layers of RNG in the shop, a synergy system that counts traits and applies bonuses, and a combat phase that auto-resolves dozens of units fighting at once. A bug in any of these warps the match in ways players feel sharply even when they cannot name the cause. This post covers tracking the four hardest areas: the unit pool and RNG, synergies, board state, and combat resolution, so these subtle failures become reproducible.

The shared unit pool and RNG

The defining mechanic of auto chess is the shared pool: all players draw units from one finite supply, so when an opponent buys a unit, fewer remain for everyone else. This creates the central strategy of contesting units, and it also creates a class of bugs. If the pool accounting is wrong, a player can be offered a unit that should be sold out, or denied one that should be available, quietly breaking the strategic layer the whole game rests on. These are not visual bugs, they are pool-state errors.

Track pool bugs by capturing the pool state at the moment of the shop offer: how many of each unit remain, the player level which sets the draw odds, and the random seed that produced the offer. With the seed and the pool you can regenerate the exact shop the player saw and verify whether the offered units were legal given the remaining supply. A report that the shop gave me a unit that should be gone is unactionable without the pool state, and fully reproducible with it.

Synergies and trait counting

Synergies are the heart of auto chess strategy: field enough units of a trait and the whole team gets a bonus. The trait counting has to be exact, because players build their entire board around hitting a breakpoint. A synergy that counts a duplicate unit twice, fails to count a unit granted by an item, or applies the wrong tier of bonus will silently invalidate a player strategy. They will see the synergy indicator say one thing and the combat behave like another, and rightly call it broken.

Track synergy bugs by capturing the full board composition and the computed synergy counts side by side. You need the units on the board, including any that grant extra traits, and what tier of each synergy the game calculated. When a player reports a synergy not working, comparing the units present against the count the game produced reveals whether a unit was miscounted, a trait from an item was ignored, or the breakpoint logic applied the wrong tier. The composition plus the computed counts make the miscount obvious.

Board state and positioning

The board going into combat is the player main expression of skill: which units, what items, and crucially where each is positioned. Bugs here are subtle. An item that does not apply to the unit it was placed on, a positioning that the combat phase reads incorrectly, or a unit that enters combat without a buff it should have, all change the fight outcome. Because combat auto-resolves quickly, the player cannot easily see why their carefully built board underperformed, only that it did.

Track board-state bugs by capturing the complete board going into the fight: each unit, its position, its items, its star level, and its active buffs. This snapshot is the input to combat, so if the fight resolved wrong, the cause is either in this input or in the combat logic that consumed it. Having the exact board lets you reconstruct the matchup and run combat against it, separating a board-construction bug, like an item not applying, from a combat-resolution bug in the simulation itself.

Combat resolution and determinism

The combat phase auto-resolves a battle between two boards, and players expect it to be fair and consistent. Combat bugs include targeting that picks the wrong enemy, abilities that fire in the wrong order, damage that calculates incorrectly, and worst of all, non-determinism, where the same two boards produce different results. In a game where players study replays to improve, an inconsistent combat resolution destroys the sense that the outcome was earned by their board-building decisions.

Track combat bugs by capturing both boards going in and the combat seed if your resolution uses one. Determinism is the key property: the same inputs must always give the same output. With both boards and the seed you can re-run the exact fight and confirm whether it reproduces, which immediately tells you whether you are chasing a logic bug or a non-determinism bug. If the same inputs give different results across runs, you have found a source of hidden randomness, which is the most corrosive bug this genre has.

Setting it up with Bugnet

Bugnet fits auto chess because the in-game report button captures state automatically when a player flags a wrong shop, a broken synergy, or a bad fight, while the round state is still intact. You can attach the pool state and seed, the board composition and computed synergy counts, and the boards going into combat as custom fields. That turns a vague the synergy did not work into a report carrying the units present and the count the game produced, so you can see the miscount directly instead of trying to reconstruct a board from a fuzzy description.

Because the same pool-accounting bug or synergy miscount affects many players across many matches, Bugnet folds duplicate reports into one issue with an occurrence count, so a trait that is consistently miscounted rises to the top of the queue. You can filter by the unit or trait involved using your custom fields to pull every report about one synergy, which is how you triage a system with this many moving parts. One dashboard with the seed and board state attached lets you reproduce these otherwise-slippery bugs deterministically.

Determinism as a testing discipline

The studios that ship trustworthy auto chess games treat determinism as a non-negotiable property and test for it relentlessly. Every confirmed combat or synergy bug, captured with its boards and seed, becomes a regression test that asserts the same inputs always produce the same output. This suite is your defense against the genre worst failure mode, hidden randomness, and it grows more valuable every time a player surfaces a board that reveals a new corner of the combat logic.

Build pool and synergy correctness into your release routine the same way. Before each patch, re-run the captured fight scenarios, verify the pool accounting against the seed-reproduced shops, and check the top synergy reports by occurrence count. An auto chess game keeps its competitive audience only if players believe the systems are fair and consistent, and you sustain that belief by capturing the seed and the state, reproducing every dispute exactly, and locking each fix in so the next match plays by the rules.

Auto chess hides deep systems behind a calm board. Capture the seed, the pool, and the board state, and a slippery synergy or combat bug becomes deterministically reproducible.