SWE-Game: Can Coding Agents Build the Games We Want?

arXiv:2609.33678 · cs.AI · Submitted 2026-09-27 · Read on arXiv

cs.AI

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Benchmark — 21× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Core — 4× in this paper · explained in 2 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Generative AI — 3× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Ablation — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• Verifier — 2× in this paper · explained in 2 episodes
• APEX — 1× in this paper · explained in 1 episode
• Agentic Coding — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Multi-Agent System — 1× in this paper · explained in 6 episodes
• Provenance — 1× in this paper · explained in 3 episodes

Sources

• GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions
• GameDevBench: Evaluating Agentic Capabilities Through Game Development
• SWE-Marathon: Can Agents Autonomously Complete Ultra-Long-Horizon Software Work?
• CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
• GUI Agents for Continual Game Generation
• GameGen-Verifier: Parallel Keypoint-Based Verification for LLM-Generated Games via Runtime State Injection
• OpenGame: Open Agentic Coding for Games
• GameEngineBench: Evaluating Coding Agents on Real C++ Runtime Environments
• Mage: Multi-Axis Evaluation of LLM-Generated Executable Game Scenes Beyond Compile-Pass Rate
• GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
• JAMER: Project-Level Code Framework Dataset and Benchmark on Professional Game Engines
• WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games

Related papers

• MAVEN-T: Reinforced Heterogeneous Distillation for Real-Time Multi-Agent Trajectory Prediction
• Model Discovery Agent: LLM-assisted Bayesian experiment design for data-efficient discovery of mechanistic world models
• The Clinician's Veto: Navigating Trust, Liability, and Uncertainty in Autonomous AI Prescribing
• MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
• Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems
• VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection