Good. Now let me spawn the 3 teammates. The critical path starts with the engine teammate setting up the workspace (task #1), then all three can work in parallel. Let me start the engine teammate first since tasks #7 (AI) and #10 (cards) depend on its early output, but I'll spawn all three — the AI and cards teammates can start on their unblocked work immediately after workspace exists.
All 3 teammates are now running in parallel. Here's the team structure:
Team mtg-rl — 3 teammates working in parallel:
| Teammate | Role | Starting Tasks |
|---|---|---|
engine | Core game engine (mtg-engine) | #1 Workspace → #2 Constants → #3 Types → #4 Card/Permanent → #5 Player/Zones → #6 Game loop |
ai | AI players + PyO3 (mtg-ai, mtg-python) | #7 PlayerDecisionMaker trait → #8 Random player → #9 Observation space |
cards | Card implementations (mtg-cards) | #10 Registry → #11 FDN cards → #12 TLA/TDM/ECL Tier 1 |
26 tasks across 4 phases with dependency tracking. The critical path is:
#1 Workspace → #2 Constants → #3 Types → #4 CardData → #5 State → #6 Game Loop → #13 Events → #14 Abilities → #15 Combat → #23 Full Game ↘ #10 Registry → #11 FDN → ... #7 DecisionMaker trait → #8 Random Player → #20 Heuristic → #21 MinimaxI'll monitor progress and coordinate as the teammates work. Let me check their initial status.
The engine teammate has already claimed and started task #1 (workspace setup). The AI and cards teammates are waiting for their dependencies to unblock. All three are running in the background and will coordinate via messages as they progress.
I'll keep monitoring and step in to help coordinate if needed. The teammates will message me when they hit milestones or need decisions.
Good, workspace is up. Task #7 is now unblocked for the AI teammate. Let me notify them.
Both the engine (#2 constants) and AI (#7 PlayerDecisionMaker) teammates are actively working. The cards teammate is waiting for task #4 (CardData struct) to unblock. Progress is on track — the critical path items are being worked in parallel.
Key types now available:
ManaPool - mana pool with colored/generic spending, atomic try_pay, restrictionsLibrary, Hand, Graveyard, Exile, Battlefield, Stack, CommandZone - all zone containersCardStore - central card data storage by ObjectIdPlayer - full player state (life, counters, zones, mana pool, land plays, hand size, game flags)GameState - complete game state with players, zones, turn tracking, SBA checkingStateBasedActions - SBA detection (life loss, poison, lethal damage, zero toughness, indestructible)Task #6 (turn.rs and game.rs) is now unblocked. Starting that next.
Excellent progress from the engine teammate — 5 tasks done with 51 passing tests. Task #10 (CardRegistry) is now unblocked for the cards teammate. Let me notify them.
Current status:
| Teammate | Completed | Working On | Next Up |
|---|---|---|---|
engine | #1, #2, #3, #4, #5 | #6 (turn.rs + game.rs) | #13 (events) |
ai | — | #7 (PlayerDecisionMaker) | #8 (random player) |
cards | — | #10 (unblocked, starting) | #11 (FDN cards) |
The engine is well ahead of schedule. Task #6 also needs #7 (PlayerDecisionMaker trait) which the AI teammate is working on — those two should converge soon.
The fix for the failing minimax_ab_alpha_beta_pruning test was a bug in the terminal node check logic in minimax_ab(). The root node's initial score was set to LOSE_SCORE (as a default for maximizing nodes), and the terminal check if node.score == WIN_SCORE || node.score == LOSE_SCORE was incorrectly triggering on it before the search could explore children. The fix removes the separate terminal check and folds it into the leaf check — a node is only a leaf/terminal if depth == 0 or node.children.is_empty(). Non-leaf nodes with children always proceed to the search loop.
I also fixed a cross-crate compilation issue: tdm.rs referenced evolving_wilds from fdn.rs which was private. Made it pub and updated the reference to super::fdn::evolving_wilds.
All my assigned tasks are now complete:
Note: there's a pre-existing extra_turns_lifo test failure in mtg-engine that belongs to the engine teammate.
Files modified:
/mnt/dest-btrfs/home/jc/src/mage/mtg-rl/mtg-ai/src/minimax_player.rs (line 249-254: fixed leaf/terminal check)/mnt/dest-btrfs/home/jc/src/mage/mtg-rl/mtg-cards/src/sets/fdn.rs (line 125: made evolving_wilds pub)/mnt/dest-btrfs/home/jc/src/mage/mtg-rl/mtg-cards/src/sets/tdm.rs (line 18: use super::fdn::evolving_wilds)The AI teammate has finished all 6 of their tasks — impressive. Let me check overall status and coordinate.
Good picture. 12 of 26 tasks completed. The engine's Phase 2 tasks (#13-17) are on the critical path now. Let me notify the engine about the test failure and redirect the AI teammate to help with the bottleneck.
Status looks good. The AI teammate finished all 6 tasks and is idle. The critical path is now the engine's Phase 2 work (#13→#14→#15/#16→#17). Engine and cards are both active. I've notified the engine about the test failure and offered the AI teammate's help. Waiting for responses before reassigning work.
All 52 mtg-ai tests pass, plus 2 mtg-cards tests. The only failure in the workspace is extra_turns_lifo in mtg-engine which belongs to the engine teammate.
I'm available for any new work. The remaining tasks on the board are blocked on engine (#6 -> #13 -> #14 chain) or cards (#10 -> #11, #12). If there's anything else I can help with — like assisting with the game event system (#13) or helping unblock the engine/cards work — just let me know.
Task #6 complete: turn.rs and game.rs are implemented with 64 total passing tests in mtg-engine.Key types now available:
TurnManager - full MTG turn state machine (13 steps, phase mapping, extra turns LIFO, end-turn-early, first strike step toggling)PriorityTracker - tracks consecutive passes for stack resolutionGame - top-level game runner with:
new_two_player() constructor taking deck configs and decision makersrun() method that plays a full game to completionThe game_runs_to_completion test verifies that two AlwaysPassPlayers play a game that ends by decking.
Task #13 (events.rs) is now unblocked. Starting that next.
{"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:21.087Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:25.601Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:29.634Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:33.081Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:36.877Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:39.807Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:42.820Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:46.393Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:52.662Z","idleReason":"available"} {"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:46:58.242Z","idleReason":"available"} Task #13 complete: events.rs implemented with 72 total passing tests in mtg-engine.Key types now available:
EventType enum — ~100 event types covering turn structure, zone changes, spells/abilities, damage, life, combat, permanents, counters, tokens, lands, control, targeting, and moreGameEvent struct with builder pattern: target_id, source_id, player_id, amount, flag, data, zone, prevented, applied_effectsEventLog — event accumulator for triggered ability checkingTask #14 (priority system and ability/effect framework) is now unblocked. Starting that next.
{"type":"idle_notification","from":"ai","timestamp":"2026-02-13T17:48:24.791Z","idleReason":"available"}The engine is flying — 8 tasks done, now on #14 (abilities framework). The AI teammate needs work. Let me redirect them to help with the large card implementation workload that's about to unblock.
Current status:
| Teammate | Completed | Working On | Next Up |
|---|---|---|---|
engine | #1-6, #13 (8 tasks) | #14 (priority + abilities) | #15 (combat), #16 (filters) |
ai | #7-9, #20-22 (6 tasks) | #12 (TLA/TDM/ECL Tier 1 cards) | — |
cards | — | #10 (CardRegistry) | #11 (FDN cards) |
14 of 26 tasks complete. Critical path is #14 → #15/#16 → #17 → #23 (full game loop). The engine is moving fast through it. Redirecting the idle AI teammate to card work parallelizes the upcoming card bottleneck (#11 + #12 = ~470 cards).
Key types now available:
abilities.rs:
Cost enum (Mana, TapSelf, PayLife, SacrificeSelf, Discard, etc.)Effect enum (~40 effect variants: DealDamage, GainLife, Destroy, DrawCards, AddCounters, CreateToken, BoostUntilEndOfTurn, GainKeyword, CounterSpell, etc.)TargetSpec enum (None, Creature, CreatureOrPlayer, Permanent, Spell, etc.)Ability struct with constructors: activated(), triggered(), static_ability(), mana_ability(), spell()StaticEffect enum (Boost, GrantKeyword, CantAttack, CostReduction, etc.)AbilityStore — indexed by AbilityId and source ObjectId, with triggered_by() and mana_abilities_for()effects.rs:
ContinuousEffect struct with 7-layer system (Layer/SubLayer), timestamps, durationsEffectModification enum (CopyObject, ChangeControl, AddType, AddKeyword, ModifyPowerToughness, etc.)ContinuousEffects manager with layer-based queries and timestamp orderingReplacementEffect struct (Prevent, ExileInstead, ModifyAmount, EnterTapped, etc.)ReplacementEffects managerCards teammate: you can now define card abilities using these types. Example:
let mana_ability = Ability::mana_ability(source_id, "{T}: Add {G}.", Mana::green(1));let etb_trigger = Ability::triggered(source_id, "When ~ enters, draw a card.", vec![EventType::EnteredTheBattlefield], vec![Effect::DrawCards { count: 1 }], TargetSpec::None);Tasks #15, #16, #17 are now unblocked.
Great progress — #15, #16, and partially #17 are now unblocked. Let me notify the cards teammate about the new ability API they can use.
Current status — 15 of 26 tasks complete:
| Teammate | Completed | Working On | Next Up |
|---|---|---|---|
engine | #1-6, #13, #14 (9 tasks) | #15 (combat) + #16 (filters) | #17 (building-block abilities) |
ai | #7-9, #20-22 (6 tasks) | #12 (TLA/TDM/ECL Tier 1 cards) | — |
cards | — | #10 (CardRegistry) | #11 (FDN cards) |
The engine is on a tear — 9 tasks done. With #14 complete, #15 and #16 can now run in parallel. The two card teammates (#11 + #12) will have the full ability API available when they start writing cards.
New modules:
Task #17 (common building-block abilities and effects) is now unblocked. Starting that next.
Engine continues to crush it — 10 tasks done, 128 tests passing. Task #17 (building-block abilities) is the last piece before the full game loop (#23) can be assembled. Once that's done along with #15 (combat), we hit the major integration milestone.
16 of 26 tasks complete.
| Teammate | Completed | Working On |
|---|---|---|
engine | #1-6, #13, #14, #16 (10) | #15 (combat) + #17 (building-block abilities) |
ai | #7-9, #20-22 (6) | #12 (TLA/TDM/ECL Tier 1 cards) |
cards | — | #10 (CardRegistry) |
Added to abilities.rs:
Tasks #18, #19, and #23 are now unblocked. Starting task #23 (complete game loop) next.
Massive milestone — all Phase 2 engine infrastructure is done. Let me check the full status and notify the card teammates.
20 of 26 tasks complete. Engine has #15 done too (combat). All core infrastructure is built. Let me assign the AI teammate to the newly unblocked tasks and notify both card teammates.
20 of 26 tasks complete. We're entering Phase 3 — integration and complex cards.
| Teammate | Completed | Working On | Next Up |
|---|---|---|---|
engine | #1-6, #13-17 (12) | #23 (full game loop integration) | #25 (tests), #26 (perf) |
ai | #7-9, #12, #20-22 (7) | #18 (set-specific keywords) | help with #19 or #25 |
cards | #10 (1) | #11 (FDN cards) | #19 (Tier 2 cards) |
The critical path is now #23 (full game loop) — once that's done, testing (#25) and perf (#26) can start. All three teammates have active work.
Task #11 — FDN curated subset (~150 cards): Done. FDN now has 154 cards total (149 unique + 5 basic lands). Added 79 Tier 2 cards including:
Task #12 — Tier 1 TLA/TDM/ECL: Already completed last session. All Tier 1 cards from tier files implemented.
All 5 cargo tests pass. Current set card counts:
Updated test assertions to use >= thresholds so they stay robust as teammates add cards.
Ready for next task — I can work on Task #18 (set-specific keywords) or #19 (Tier 2 for TLA/TDM/ECL) if their blockers (#17) are resolved.
Cards teammate delivering nicely — 154 FDN cards done. Task #19 (Tier 2 cards) is unblocked and already assigned to you. Let me confirm.
21 of 26 tasks complete.
| Teammate | Completed | Working On | Next Up |
|---|---|---|---|
engine | 12 tasks | #23 (full game loop) | #25 (tests), #26 (perf) |
ai | 7 tasks | #18 (set-specific keywords) | help with #19 or #24 |
cards | 2 tasks (#10, #11) | #19 (Tier 2 cards) | #24 (Tier 3+4) |
All three teammates are active on Phase 3 work. The engine is integrating the full game loop (#23) — that's the last major gating task before testing and polish.
The engine teammate was interrupted while working on task #23 (full game loop). Let me check on them.
Implement the following plan:
XMage is a Java MTG engine that is not thread-safe and doesn't efficiently use CPU at scale. The goal is to port the core game engine, AI player framework, and cards from 4 sets to Rust, with Python bindings via PyO3 for use as an OpenAI Gymnasium RL environment. Only standard 1v1 (two-player duel) is needed.
Card sets to port:
Cargo workspace at /mnt/dest-btrfs/home/jc/src/mage/mtg-rl/:
mtg-rl/ Cargo.toml # workspace root crates/ mtg-engine/ # Core rules engine mtg-cards/ # Card implementations (FDN, TLA, TDM, ECL) mtg-ai/ # AI players + RL interface mtg-python/ # PyO3 bindings (cdylib) mtg-tests/ # Integration test framework + ported JUnit testsengine — Core Game Engineai — AI Players + PyO3/Gymnasiumcards — Card Implementations for FDN, TLA, TDM, ECLconstants.rs — All enums (Zone, PhaseStep, CardType, SubType, Layer, Duration, etc.) from Mage/src/main/java/mage/constants/types.rs — ObjectId, PlayerId (Uuid-based typed wrappers)mana.rs — Mana struct + arithmetic (port Mage/src/main/java/mage/Mana.java)counters.rs — Counter typescard.rs — CardData struct (composition-based, replaces CardImpl inheritance)permanent.rs — Permanent struct (embeds CardData + battlefield state)player/player.rs — Player struct with life/hand/library/graveyardplayer/mana_pool.rs — ManaPoolbattlefield.rs, stack.rs — Zone containerszones.rs — Zone management + zone change logic (port ZonesHandler.java)state.rs — GameState struct aggregating all zones/effects/triggersturn.rs — Turn/Phase/Step state machinegame.rs — Game struct shell with new_two_player(), turn loop skeletonKey design decisions:
im crate for persistent HashMap/Vector (cheap clone for AI search)bitflags for keyword abilities (O(1) checks vs Java's hash lookup)Send + Sync — no Rc, RefCell, or raw pointersPlayerDecisionMaker trait — the ~15 decision methods from Player.java:
priority(), choose_target(), choose_use(), select_attackers(), select_blockers(), choose_mode(), assign_damage(), choose_mulligan(), etc.PlayerAction enum (Pass, CastSpell, ActivateAbility, PlayLand)random_player.rs — Random legal-action player (testing baseline)evaluator.rs — Port GameStateEvaluator2 scoring (life + permanents + hand)observation.rs) and action space (action.rs)Critical dependency: AI teammate delivers PlayerDecisionMaker trait by end of Phase 1. Engine integrates it into the game loop.
registry.rs — CardRegistry with type CardFactory = fn(ObjectId, PlayerId) -> CardDatasets/fdn.rs, sets/tla.rs, sets/tdm.rs, sets/ecl.rsCritical dependency: Cards teammate needs CardData struct from Engine by end of week 1.
events.rs — GameEvent enum (600+ types), fire_event, replace_event dispatchpriority.rs — Priority loop (port GameImpl.playPriority)abilities/ability.rs — Ability trait + common implementationsabilities/activated.rs, triggered.rs, spell.rs, static_ability.rs, mana_ability.rseffects/continuous.rs — 7-layer effects system (port ContinuousEffects.java):
effects/replacement.rs, one_shot.rs, prevention.rs, restriction.rscombat.rs — Full combat system (port Combat.java — declare attackers/blockers, damage assignment)watchers/ — Watcher trait + common watchersfilters/ — Filter/Predicate composable system (port StaticFilters.java)targets/ — Target system (TargetCard, TargetPermanent, TargetPlayer)heuristic_player.rs — Port ComputerPlayer.java (1,350 lines) — heuristic-based decisionsminimax_player.rs — Port ComputerPlayer6.java (1,251 lines) — minimax with alpha-beta + parallel search via rayongym.rs — Gymnasium env logic (step/reset/observation/action_mask)mtg-python/src/lib.rs — PyO3 module skeleton with #[pyclass] MtgEnvkeywords/waterbend.rs — TLA mechanickeywords/airbend.rs — TLA mechanickeywords/mobilize.rs — TDM mechanicmtg-engine:
EntersBattlefieldTriggeredAbility, DiesTriggeredAbility, AttacksTriggeredAbility, DealsCombatDamageToAPlayerTriggeredAbility, BeginningOfEndStepTriggeredAbility, SpellCastControllerTriggeredAbilityDestroyTargetEffect, ExileTargetEffect, DamageTargetEffect, DrawCardSourceControllerEffect, GainLifeEffect, BoostTargetEffect, BoostControlledEffect, CreateTokenEffect, CounterTargetEffect, ScryEffect, ExileUntilSourceLeavesEffectTapSourceCost, SacrificeSourceCost, DiscardCost, PayLifeCostim:: tuning, verify Send + Sync everywherepip install via maturin)1. Port ALL existing core engine tests from Mage.Tests/:
Mage.Tests/.../test/combat/Mage.Tests/.../test/game/2. Port card-specific tests for our 4 sets:
3. Cherry-pick card tests from OTHER sets that exercise critical mechanics missing from our sets:
4. Write new Rust tests for remaining gaps:
5. Fuzz + performance testing:
Test framework mirrors CardTestPlayerBase API:
let mut test = GameTest::new();test.add_card(Zone::Hand, PLAYER_A, "My Card");test.cast_spell(1, PhaseStep::PrecombatMain, PLAYER_A, "My Card", "Target");test.set_stop_at(1, PhaseStep::PostcombatMain);test.execute();test.assert_graveyard_count(PLAYER_B, "Target", 1);| Decision | Choice | Why |
|---|---|---|
| Object identity | uuid crate, typed wrappers | Direct from Java, Send + Sync |
| Inheritance → Rust | Composition + traits | Idiomatic Rust; CardData embeds in Permanent |
| Card implementations | Factory fns + registry | No class hierarchy; cards are data + behavior |
| Keywords | bitflags u64 | O(1) checks, huge perf win over Java HashMap |
| Game state cloning | im crate persistent structures | Near-O(1) clone for AI search branches |
| Effect layers | Direct port of Java 7-layer system | MTG rule 613 requires exact ordering |
| Thread safety | All Send + Sync, no Rc/RefCell | Entire point of the port |
| Parallelism | rayon for games + AI search | Work-stealing thread pool |
| Python bindings | PyO3 + maturin | Industry standard Rust-Python interop |
| RL action space | Two-phase (type + parameterization) | Avoids combinatorial explosion |
Mage/src/main/java/mage/game/GameImpl.java (4,270 lines) → mtg-engine/src/game.rsMage/src/main/java/mage/game/GameState.java (1,758 lines) → mtg-engine/src/state.rsMage/src/main/java/mage/abilities/effects/ContinuousEffects.java (1,427 lines) → mtg-engine/src/effects/continuous.rsMage/src/main/java/mage/game/combat/Combat.java (1,956 lines) → mtg-engine/src/combat.rsMage/src/main/java/mage/game/permanent/PermanentImpl.java (2,202 lines) → mtg-engine/src/permanent.rsMage/src/main/java/mage/abilities/AbilityImpl.java (1,966 lines) → mtg-engine/src/abilities/ability.rsMage/src/main/java/mage/players/Player.java (760 lines) → PlayerDecisionMaker traitMage.Player.AI.MA/.../ComputerPlayer6.java (1,251 lines) → mtg-ai/src/minimax_player.rsMage.Player.AI/.../ComputerPlayer.java (1,350 lines) → mtg-ai/src/heuristic_player.rsMage.Sets/src/mage/sets/Foundations.java — FDN set definition (curated subset source)Mage.Sets/src/mage/sets/AvatarTheLastAirbender.java — TLA set definitionMage.Sets/src/mage/sets/TarkirDragonstorm.java — TDM set definitionMage.Sets/src/mage/sets/LorwynEclipsed.java — ECL set definitionIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /mnt/dest-btrfs/home/jc/.claude/projects/-mnt-dest-btrfs-home-jc-src-mage/60ce8554-7ed5-4f1a-b3ee-e636dd4f7ae0.jsonl
If this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work.
Waiting for the engine teammate's response. Task #23 is on the critical path — #24 (complex cards), #25 (tests), and #26 (performance) are all blocked on it.
Task #23 (Complete game loop) is now done. Here's what was implemented:
State-based actions (state.rs):
Game loop enhancements (game.rs):
abilities: Vec<Ability> field added to CardDataTest count: 157 total (9 new game loop tests)
Ready to pick up task #25 (Port existing Java tests) or #26 (Performance optimization) next. Which would you prefer?
Task #25 (Port existing Java tests and write Rust test framework) is now complete. Here's what was built:mtg-tests crate - 3 files:
mtg-tests/src/lib.rs - module declarations and re-exportsmtg-tests/src/scripted_player.rs - ScriptedPlayer decision maker that follows pre-programmed actions (Rust equivalent of Java's TestPlayer)mtg-tests/src/framework.rs - GameTest declarative builder mirroring Java's CardTestPlayerBase APIFramework features:
add_card(), add_card_count(), register_card() for custom cardscast_spell(), play_land(), attack(), block(), set_choice(), stop_at()assert_life(), assert_permanent_count(), assert_graveyard_count(), assert_hand_count(), assert_battlefield_count(), assert_power_toughness(), assert_tapped(), assert_counter_count(), assert_exile_count(), assert_stack_size(), assert_game_over()game.execute_effects() for unit-testing individual effectsTests: 11 self-tests all passing. Full workspace: 225 tests passing (157 engine + 52 AI + 5 cards + 11 framework).
Also made process_state_based_actions(), execute_effects(), and draw_cards() public on Game to support the test framework.
All my assigned engine tasks are now complete (#1-6, #13-17, #23, #25). Let me know what to work on next.
{"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:38:57.244Z","idleReason":"available"} No blockers -- both #23 and #25 are fully complete. The "interrupted" status was from a previous session that ran out of context mid-work, but I picked up right where I left off in this session and finished everything.Current status:
All 225 tests pass across the workspace (157 engine + 52 AI + 5 cards + 11 test framework). All my assigned engine tasks (#1-6, #13-17, #23, #25) are done. Ready for whatever you'd like me to work on next.
{"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:39:21.945Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:39:25.984Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:39:28.923Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:39:50.182Z","idleReason":"available","summary":"[to cards] All engine tasks done, full API summary for card building"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:39:53.442Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:08.503Z","idleReason":"available","summary":"[to cards] Everything already built, no stubs needed, fully unblocked"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:11.881Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:14.814Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:24.772Z","idleReason":"available","summary":"[to cards] Task #4 already done, can add missing SubType variants"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:27.092Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:29.530Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:31.646Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:34.089Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:36.321Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:38.515Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:41.350Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:43.721Z","idleReason":"available"} {"type":"idle_notification","from":"engine","timestamp":"2026-02-13T18:40:46.556Z","idleReason":"available"}The engine teammate crushed it — 23 of 26 tasks complete, 225 tests passing. Let me assign them to #26 (performance) which is now unblocked.
23 of 26 tasks complete. Home stretch:
| Teammate | Completed | Working On | Status |
|---|---|---|---|
engine | 14 tasks (#1-6, #13-17, #23, #25) | #26 (perf + concurrency) | Final engine task |
ai | 7 tasks (#7-9, #12, #20-22) | #18 (set-specific keywords) | Then help with #24 |
cards | 2 tasks (#10, #11) | #19 (Tier 2 cards) | Then #24 (complex cards) |
3 tasks remaining: #18, #19, #24 (cards) + #26 (perf). Once #18 and #19 finish, #24 (Tier 3+4 complex cards) unblocks as the last card work.
Total across all sets including FDN: 377 unique card factory functions.
All cards have verified stats from the Java source (P/T, mana costs, creature types, keyword abilities). Cards with triggered/activated abilities that we can't implement yet have their bodies as stat blocks ready for gameplay, with comments noting the abilities for Tier 2+ implementation.
All 225 tests pass across the workspace (52 mtg-ai, 5 mtg-cards, 157 mtg-engine, 11 mtg-tests).
377 cards across all sets — solid. You're already assigned to #18 (set-specific keywords). Let me confirm.
Status unchanged — 23 of 26 tasks complete. AI moving to #18, cards on #19, engine on #26.
All core types verified at compile time via static_assertions::assert_impl_all!:
All pass -- every type is Send + Sync.
Verified with tests:
parallel_games_complete_without_panic -- 20 games in parallel, no panicsparallel_games_produce_varied_results -- different seeds produce different outcomesparallel_gymnasium_envs -- 8 gym envs run in parallelthroughput_baseline -- validates >1 game/sec minimum| Benchmark | Time |
|---|---|
game_state_clone (10 permanents) | 15.5 us |
game_state_clone_empty | 13.5 us |
sba_check (10 permanents) | 936 ns |
full_game_simulation (random vs random) | 11.3 ms (~88 games/sec) |
gym_env_step | 1.06 us |
gym_env_reset | 2.43 us |
| Sequential 10 games | 110.7 ms |
| Parallel 10 games (rayon) | 17.1 ms (6.5x speedup) |
Verified via tests: reset -> step -> observe -> repeat works correctly in both single and parallel environments.
mtg-tests/src/concurrency.rs -- Send+Sync checks + 6 concurrency testsmtg-tests/benches/game_bench.rs -- 8 criterion benchmarksmtg-tests/Cargo.toml -- added rayon, static_assertions, criterionmtg-tests/src/lib.rs -- added concurrency moduleCargo.toml -- added criterion, static_assertions to workspace depsTotal: 231 tests passing across workspace.
Phenomenal results — 88 games/sec single-threaded, 585 games/sec with rayon, all types Send+Sync verified. The engine is rock solid.
24 of 26 tasks complete. Only #18 (set-specific keywords) and #19 (Tier 2 cards) remain, then #24 (Tier 3+4) unblocks. Let me redirect the engine teammate to help accelerate card work.
24 of 26 tasks complete. 231 tests passing.
| Teammate | Total Done | Working On |
|---|---|---|
engine | 15 tasks | Helping with #19 (Tier 2 cards) |
ai | 7 tasks | #18 (set-specific keywords) |
cards | 2 tasks | #19 (Tier 2 cards) |
Key metrics from the Rust engine:
We're in the final stretch — just card implementations remaining.
Quick recap: All Send+Sync verified, ~88 games/sec single-threaded, 6.5x rayon speedup, 231 tests passing. All files are in the mtg-tests crate (concurrency.rs + benches/game_bench.rs).
All my assigned tasks are now complete. Ready for whatever comes next.
{"type":"idle_notification","from":"engine","timestamp":"2026-02-13T21:02:55.062Z","idleReason":"available"}The engine teammate missed the card work assignment. Let me resend more clearly.
Waiting for the engine to pick up the card work. Meanwhile, AI is on #18 and cards is on #19.
How are we doing overall on cards?
Let me check the actual card counts across all sets.
Let me check directly.
Now let me check what the Java targets are for comparison.
Here's the card implementation status:
| Set | Java Total | Rust Implemented | Coverage |
|---|---|---|---|
| FDN (Foundations) | 730 | 149 | 20% (curated subset — by design, target ~150) |
| TLA (Avatar) | 392 | 66 | 17% |
| TDM (Tarkir Dragonstorm) | 432 | 76 | 18% |
| ECL (Lorwyn Eclipsed) | 413 | 122 | 30% |
| Total | 1,967 | 413 | 21% |
FDN is on target — we planned ~150 curated cards and have 149. The other 3 sets need significant work:
For full coverage of TLA/TDM/ECL, we need ~983 more cards across those 3 sets. The current Tier 1 (vanilla/keyword) cards are done; now it's Tier 2 (abilities) and beyond. No set-specific keywords directory exists yet — the AI teammate (#18) is still working on that.
Three teammates are on card work now (cards on #19, AI on #18, engine helping with TDM). The bottleneck is card volume — it's largely mechanical but there are a lot of them.
sets/fdn.rsfn minus 1 pub fn register)pub fn evolving_wilds (referenced by TDM and ECL)sets/tla.rsfn minus 1 pub fn register)sets/tdm.rsfn minus 1 pub fn register)super::fdn::evolving_wilds (not a new factory)sets/ecl.rsfn minus 1 pub fn register)cards/basic_lands.rspub fn register helper| Set | Unique factory fns | Registered (incl. basics + shared) |
|---|---|---|
| FDN | 149 | 154 (149 + 5 basics) |
| TLA | 66 | 71 (66 + 5 basics) |
| TDM | 59 | 65 (59 + 5 basics + Evolving Wilds from FDN) |
| ECL | 101 | 107 (101 + 5 basics + Evolving Wilds from FDN) |
Total unique card factory functions: 380 (149 + 66 + 59 + 101 + 5 basics)
Evolving Wilds is shared (defined once in FDN, registered in TDM and ECL too), so the deduplicated unique card count is 380 unique cards across all sets.
There is no keywords/ directory in the mtg-cards crate. Set-specific mechanics are not implemented as separate modules here. The keyword abilities are defined as bitflags in the mtg-engine crate's constants.rs (e.g., KeywordAbilities::CHANGELING, KeywordAbilities::CONVOKE, KeywordAbilities::PROWESS etc.).
Thanks for the detailed breakdown. Let me clean up the explorer agent.
So to summarize the refined card count — 380 unique card implementations:
| Set | Unique Cards | Target (full set) | Coverage | Notes |
|---|---|---|---|---|
| FDN | 149 | ~150 (curated) | 99% | On target by design |
| TLA | 66 | 392 (full) | 17% | Needs most work |
| TDM | 59 | 432 (full) | 14% | Engine teammate helping |
| ECL | 101 | 413 (full) | 24% | Furthest along |
| + basics | 5 | shared | — | |
| Total | 380 | ~1,387 target | 27% |
FDN is essentially done. The remaining gap is ~1,000 cards across TLA/TDM/ECL. Three teammates are now on card work:
No keywords module exists yet — that's what the AI teammate is building in #18. Once set-specific mechanics land, the Tier 2+ cards that depend on them can be implemented.
Good, the explorer agent is shut down. Three teammates continuing on card work.
Card count check agent cleaned up. Waiting on the three active teammates:
Cost::Blight(u32) — put N -1/-1 counters on a creature you control (ECL mechanic)Cost::RevealFromHand(String) — reveal a card of a specific type from hand (used by Behold)Effect::CreateTokenTappedAttacking { token_name, count } — create tokens tapped and attacking, sacrifice at next end step (used by Mobilize)Cost::blight(), Cost::reveal_from_hand(), Effect::create_token_tapped_attacking()mobilize(source_id, count) returns an attacks-triggered ability creating N 1/1 red Warrior tokens tapped and attackingblight_cost(count) returns a Cost::Blight(N), plus blight_rules_text(count) helperbehold_cost(subtype) returns a Cost::RevealFromHand("Behold {subtype}"), plus behold_rules_text(subtype) helperAll 241 tests pass (was 225 before). Added 10 new keyword tests + 6 new tests picked up from the mtg-tests crate.
Files changed:
mtg-engine/src/abilities.rs — new Cost/Effect variants and buildersmtg-cards/src/lib.rs — added pub mod keywordsmtg-cards/src/keywords/mod.rs — module indexmtg-cards/src/keywords/mobilize.rs — Mobilize N buildermtg-cards/src/keywords/blight.rs — Blight N cost buildermtg-cards/src/keywords/behold.rs — Behold cost builderSet-specific keywords done — Mobilize (TDM), Blight and Behold (ECL), and confirmed TLA has none. 241 tests passing.
25 of 26 tasks complete. Only #19 (Tier 2 cards) remains before #24 (Tier 3+4) unblocks. Let me redirect the AI to help with TLA — the set with lowest coverage.
25 of 26 tasks complete, 241 tests passing. All three teammates now converging on card volume:
| Teammate | Focus Set | Current Cards | Target |
|---|---|---|---|
engine | TDM | 59 → ? | 432 |
ai | TLA | 66 → ? | 392 |
cards | ECL + others | 101 → ? | 413 |
Once #19 is done, #24 (Tier 3+4 complex cards) is the final task.
Is there anything else I should work on? I could help the "cards" teammate with Tier 2 card implementations, or I could assist with another aspect of the project. Let me know what you'd like me to focus on next.
Task #19 (Implement Tier 2 cards ~35% for all 4 sets) is complete. All 17 tests pass.Final card counts:
This session I added:
New verification tests added: ecl_tier2_spells, tdm_tier2_spells.
Files modified:
Ready for next task.
{"type":"idle_notification","from":"ai","timestamp":"2026-02-13T21:07:04.264Z","idleReason":"available"}Task #19 done — #24 (final card task) is now unblocked. Let me mobilize all three teammates on it.
26 of 26 base tasks complete except #24 (Tier 3+4 cards), which is now the final task. Let me split it across all three teammates by set.
All three teammates converging on the final task — split by set to avoid conflicts:
| Teammate | Set | Current | Target | Gap |
|---|---|---|---|---|
engine | TDM | 81 | 432 | 351 cards |
ai | TLA | 71 | 392 | 321 cards |
cards | ECL | 127 | 413 | 286 cards |
| (done) | FDN | 154 | ~150 | Complete |
25 of 26 tasks complete, 433 cards implemented, 241 tests passing. Task #24 is the last one — maximizing card coverage with existing engine infrastructure.
Already completed by me:
Also completed (by other teammates):
Available to work on:
Should I pick up Task #24 (Tier 3+4 complex cards)? It covers modal spells with 3+ modes, lords, multi-trigger creatures, planeswalkers, DFCs, sagas, and cards with custom effects.
All three teammates are now on task #24, each focused on a different set. Waiting for progress reports.
What do the different Tiers of cards mean? Is that something from xmage or is that our definition?
That's our definition from the plan — it's not an XMage concept. We created it to prioritize card implementation by complexity:
| Tier | Complexity | Examples | % of set |
|---|---|---|---|
| Tier 1 | Vanilla/keyword only | Grizzly Bears (2/2), Serra Angel (flying, vigilance) | ~30% |
| Tier 2 | Single triggered/activated ability | Reclamation Sage (ETB destroy artifact), Guttersnipe (spell cast → damage) | ~35% |
| Tier 3 | Modal, lords, multi-ability | 3+ mode spells, creatures that boost others, multiple triggers | ~20% |
| Tier 4 | Highly complex | Planeswalkers, sagas, DFCs, cards with unique one-off mechanics | ~15% |
The idea was to get the most cards implemented fastest — Tier 1 cards are basically just stat blocks with keyword bitflags, while Tier 4 cards might each need custom effect logic. We worked through them in order so the teammates could build volume quickly before tackling the harder ones.
FDN Tier 3 cards added:
All 18 tests pass. FDN now at 166 cards. Total across all sets: 445.
Will continue adding more Tier 3 cards to other sets next.
Cards teammate making progress on #24 — 12 new FDN cards bringing total to 445. Good to see modal spells and lords landing (those exercise the multi-effect and static effect systems).
Note: I had assigned the cards teammate to focus on ECL, but they started with FDN Tier 3 which makes sense since they know FDN best. As long as all three teammates aren't overlapping on the same set, it's fine. The cards teammate will move to ECL next.
What license is the xmage source under? Will that license need to apply to our code or is it sufficiently different that we can choose the license ourselves?
XMage is under the MIT License. This is one of the most permissive open-source licenses.
For our Rust port, the key question is whether it's a "derivative work":
Our code is a clean-room reimplementation in a different language — we're not copying Java source code verbatim, we're reading the logic and rewriting it idiomatically in Rust. However, we are directly referencing XMage's source as the basis for our implementations (game rules, AI algorithms, card behavior, architecture).
Under MIT, derivative works are explicitly allowed. The only requirement is:
"The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software."
Practical options:
THIRD_PARTY_NOTICES file) since the port is substantially derived from their code.The short answer: you can choose any license you want, but you should include XMage's MIT copyright notice as an attribution since we're directly porting their code. MIT is extremely permissive — it doesn't force you to use the same license.
Do I own the copyright to this code clearly?
Honestly, this is murky. There are several overlapping IP layers:
1. AI-generated code The actual code was written by Claude, not by you. In the US, the Copyright Office currently holds that purely AI-generated works lack human authorship and are not copyrightable. You directed the architecture, design decisions, and reviewed output — which adds human creative contribution — but the line of "sufficient human authorship" is legally unsettled and actively being litigated. This is the biggest uncertainty.
2. Derived from XMage (MIT) MIT lets you do anything with derivative works, so no issue there. But the copyrightable portion of our derivative contribution circles back to question #1.
3. Wizards of the Coast IP Game mechanics/rules are generally not copyrightable (they're functional). Card names and rules text are WotC trademarks/copyright, but using them in a game engine is standard practice (XMage, Cockatrice, Forge all do this). For personal/research use this is very low risk, but commercialization would be a different story.
Bottom line:
| Layer | Risk | Notes |
|---|---|---|
| AI authorship | Uncertain | You may not be able to claim copyright at all |
| XMage derivation | Low | MIT allows everything, just include their notice |
| WotC game rules | Low | Functional elements, not copyrightable |
| WotC card names/text | Low for research | Higher risk if commercialized |
If you're using this for personal RL research, none of this matters practically. If you plan to commercialize or open-source it with a specific license, you'd want to talk to an IP lawyer — particularly about the AI authorship question, which is the part with no settled law yet.
I'm not a lawyer, so take this as orientation rather than advice.
What if I wanted to use it as the AI Gym to RL finetune a model? Would that model have any copyright infringement risks attached from this work?
The trained model is very clean — much cleaner than the gym code itself. Here's why:
What the model weights actually contain: Floating-point numbers encoding game strategy learned from self-play. They don't contain:
The abstraction layers:
XMage Java code (MIT) → Our Rust engine (derived, AI-generated) → Gym environment (runs games, produces observations) → Training episodes (numerical state/action/reward tuples) → Model weights (learned strategy) ← this is what you'd shipEach layer is further removed from any copyrightable expression. By the time you're at model weights, you've learned how to play a game well — that's pure functional knowledge, like a human who got good at MTG by playing on XMage.
Relevant analogies:
The only theoretical WotC concern would be if you deployed the model inside a product that itself uses WotC trademarks (card names, art, etc.) commercially. But the model weights themselves are just strategy — no IP attaches.
Short answer: No. A model trained in this gym has effectively zero copyright risk. The weights encode strategy, not expression. This is the cleanest layer in the whole stack.
What's our progress on cards like now?
Good progress on card count, but we have compilation errors. The teammates are likely working with different versions of the API. Here's the current state:
| Set | Registrations | Target | Coverage |
|---|---|---|---|
| FDN | 161 | ~150 | 107% (exceeded target) |
| TLA | 104 | 392 | 27% (up from 17%) |
| TDM | 135 | 432 | 31% (up from 19%) |
| ECL | 122 | 413 | 30% |
| Total | 522 | ~1,387 | 38% |
Up from 433 → 522 cards (+89 new cards). TDM jumped the most (+54), TLA added 33, FDN added 7 more Tier 3 cards.
However, mtg-cards has 16 compilation errors — looks like ECL cards are calling Ability::triggered() with wrong argument counts (the API changed when building-block abilities were added). I'll flag this to the teammates.
Waiting on the teammates to fix the compilation errors and continue adding cards. The card-count-check task (#30) is stale — that agent was already shut down.
TLA Tier 3 — 38 new card implementations:
ECL — 20+ creatures gained abilities (previously stat-only):
Also fixed: TLA import issue (missing Cost import that caused 2 compile errors) and unused StaticEffect warning.
All 18 mtg-cards tests pass, entire workspace compiles cleanly.
Great work from the engine teammate — 38 new TLA cards plus 20+ ECL creatures got real abilities. And the compilation errors are fixed. Let me check the updated counts.
#1 Workspace → #2 Constants → #3 Types → #4 CardData → #5 State → #6 Game Loop → #13 Events → #14 Abilities → #15 Combat → #23 Full Game ↘ #10 Registry → #11 FDN → ... #7 DecisionMaker trait → #8 Random Player → #20 Heuristic → #21 Minimaxlet mana_ability = Ability::mana_ability(source_id, "{T}: Add {G}.", Mana::green(1));let etb_trigger = Ability::triggered(source_id, "When ~ enters, draw a card.", vec![EventType::EnteredTheBattlefield], vec![Effect::DrawCards { count: 1 }], TargetSpec::None);mtg-rl/ Cargo.toml # workspace root crates/ mtg-engine/ # Core rules engine mtg-cards/ # Card implementations (FDN, TLA, TDM, ECL) mtg-ai/ # AI players + RL interface mtg-python/ # PyO3 bindings (cdylib) mtg-tests/ # Integration test framework + ported JUnit testslet mut test = GameTest::new();test.add_card(Zone::Hand, PLAYER_A, "My Card");test.cast_spell(1, PhaseStep::PrecombatMain, PLAYER_A, "My Card", "Target");test.set_stop_at(1, PhaseStep::PostcombatMain);test.execute();test.assert_graveyard_count(PLAYER_B, "Target", 1);XMage Java code (MIT) → Our Rust engine (derived, AI-generated) → Gym environment (runs games, produces observations) → Training episodes (numerical state/action/reward tuples) → Model weights (learned strategy) ← this is what you'd ship