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rusty_marvin/docs/ACHIEVEMENTS.md
Jan-Peter v. Hunnius 17d0440c86 feat: refactor AlgorithmicEvaluator to stateless, add game engine module and holdem_sim CLI 
- Refactor AlgorithmicEvaluator from stateful Arc<Evaluator> wrapper to
  pure stateless evaluator with zero-allocation construction
- Extract shared evaluation logic into pub(crate) methods, eliminating
  ~220 lines of duplicated code from Evaluator
- Add game module: table, hand runner, tournament, bots, config, stats
- Add holdem_sim CLI binary crate for running simulations
- Convert MathEvaluator to thread-safe singleton with Arc<Inner> pattern
- Replace heap-allocated combination generation with const-generics
  stack-based approach in AlgorithmicEvaluator::evaluate_n_card_hand
- Add thiserror 2 dependency for GameError derive
- Update docs: README, ACHIEVEMENTS, ROADMAP
2026-05-18 15:12:34 +02:00

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Poker AI Testbed & Live Server Achievements

Completed Phases and Items

Phase 1: Foundation ✅

Basic poker engine

  • Card/Hand/Board representations ✅
  • Fast LUT hand evaluator (5, 6, and 7 cards) ✅

Phase 2: Simulation Testbed ✅

Bot framework

  • Meerkat-API-compatible HoldemPlayer trait ✅
  • Built-in bots: CallBot, FoldBot, RaiseBot, RandomBot ✅
  • Bot factory for config-driven bot instantiation ✅

Game engine

  • Full hand execution engine (HandRunner state machine) ✅
  • Table management with seating, button rotation, blind posting ✅
  • Tournament support (SNG, MTT) with blind schedules and prize structures ✅
  • Pot management with side pot algorithm ✅
  • NL/PL/FL betting structures ✅
  • Seed control for reproducible simulations ✅

Simulation infrastructure

  • TOML-based configuration system ✅
  • Cash game simulation loop ✅
  • Performance statistics accumulator ✅
  • CLI simulation runner (holdem_sim) ✅
  • Example configs for Cash, SNG, and MTT ✅

Testing

  • 369+ unit tests passing ✅
  • Integration and property tests ✅

Success Metrics

  • Bot Performance: Profitability across different game types
  • Simulation Speed: Ability to run millions of hands efficiently
  • Live Reliability: 99.9% uptime with correct action execution
  • Flexibility: Easy configuration for new sites and game types
  • Evolution: Continuous improvement through simulation results
  • Monitoring: Meaningful debug and performance logging and visualization