mlsanityData to 7 Oct 2026

A2Z GameSpec-Bench: How Faithfully Can Coding Agents Generate Games from Game Design Specifications?

arXiv 2609.39564 ↗First posted 30 Sep 2026cs.AI cs.CVcited by 0

On the map: LLM agents and tool use → Software engineering coding agents

Abstract (arXiv)

Delegating complete application development to coding agents requires preserving the intended design rather than simply producing plausible outputs through naive prompting. Game development provides a demanding testbed, as long-form Game Design Documents (GDDs) describe requirements that must work together across game logic, visual rendering, and player interactions. However, existing game-development benchmarks typically use compact specifications and provide limited support for evaluating interdependent requirements across these aspects in long-form GDDs. We introduce A2Z GameSpec-Bench, a benchmark of 100 long-form GDDs for evaluating end-to-end game development by agents. We measure faithfulness by checking whether the game satisfies the GDD requirements and preserves the relationships among them. Each GDD is turned into a dependency-aware contract that contains rules, constraints, and prerequisite relations. Following game-development practices, we combine source-code inspection with agent-generated test policies for scenario-based replay and adaptive playtesting. The contract remains fixed across agents and revision rounds, while judgments and evidence linked to the same requirements support consistent comparison and failure detection. Our evaluations show that current agents struggle to jointly satisfy interdependent requirements across code implementation and actual play. Requirement-specific feedback improves GDD Fidelity by 10.9% relative to self-revision after two rounds. A2Z GameSpec-Bench assesses end-to-end specification-following ability beyond implementation judgments and provides targeted feedback to support more faithful game development. Code and datasets are available at https://a2z-gamespec-bench.github.io.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 22 of its 41 references that are in the map. First posted on arXiv 30 Sep 2026.

Builds on

22 of 41 references.

Closest ancestors · 8

Same direction, newest first

  1. 2026GameXpert-Bench: How Far Are Coding Agents from Expert Game Development?22 Aug
  2. 2026GameEngineBench: Evaluating Coding Agents on Real C++ Runtime Environments3 Jul
  3. 2026GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?16 Jun
  4. 2026GUI Agents for Continual Game Generation27 May
  5. 2026WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games17 May
  6. 2026OpenGame: Open Agentic Coding for Games20 Apr
  7. 2026GLM-5: from Vibe Coding to Agentic Engineering17 Feb
  8. 2026GameDevBench: Evaluating Agentic Capabilities Through Game Development11 Feb

Other references · 14

  1. 2024Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preferencecited by 1,151
  2. 2026DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligencecited by 877
  3. 2025Kimi K2: Open Agentic Intelligencecited by 523
  4. 2026Meta-Harness: End-to-End Optimization of Model Harnessescited by 248
  5. 2026ProgramBench: Can Language Models Rebuild Programs From Scratch?cited by 47
  6. 2026GameWorld: Towards Standardized and Verifiable Evaluation of Multimodal Game Agentscited by 22
  7. 2021Automatic Detection of Causality in Requirement Artifacts: the CiRA Approachcited by 11
  8. 2026GameGen-Verifier: Parallel Keypoint-Based Verification for LLM-Generated Games via Runtime State Injectioncited by 9
  9. 2026WebVR: Benchmarking Multimodal LLMs for WebPage Recreation from Videos via Human-Aligned Visual Rubricscited by 8
  10. 2026MUSE: Benchmarking Manufacturable, Functional, and Assemblable Text-to-CAD Generationcited by 8
  11. 2026OmniGameArena: A Unified UE5 Benchmark for VLM Game Agents with Improvement Dynamicscited by 4
  12. 2026WebRISE: Requirement-Induced State Evaluation for MLLM-Generated Web Artifactscited by 2
2 more
  1. 2026LiveEvalBench: Toward Open-World Evaluation for Web Generationcited by 1
  2. 2026WebGrader: Training LLMs for Web Development with Self-Evolving Programmatic Gradercited by 1

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2026GameLogicBench: Evaluating Coding Agents on Runtime Game Logic with Tick-Level State Assertions
  2. 2026GameASG-Bench: Benchmarking Autonomous Software Generation for Game Development
  3. 2026SWE-Game: Can Coding Agents Build the Games We Want?
  4. 2026GameReplica: A Benchmark for Black-Box Visual Game Replication by Vision-Language Agents
  5. 2026Recursive Game Creator: An Agentic Product-Level Experience-Oriented Game Harness
  6. 2026Compiled Agency: Frontier General-Purpose Coding Agents Build Winning Game Players from Bare Interaction - from Flappy Bird to StarCraft II and Civilization
  7. 2026Code2Games: Enabling Coding Agents for Gaming World Generation
  8. 2026RSIGame: Autonomous Agentic Game Development with Recursive Self-improvement