mlsanityData to 7 Oct 2026

WebGameBench: Requirement-to-Application Evaluation for Coding Agents via Browser-Native Games

arXiv 2605.17637 ↗First posted 17 May 2026cs.AIcited by 9

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

Abstract (arXiv)

Coding agents are increasingly used as application builders, yet many evaluations still focus on source code, repository-level tests, or intermediate traces rather than the delivered application. We introduce WebGameBench, a requirement-to-application benchmark that evaluates whether coding agents can turn a frozen Structured WebGame Specification into a browser-accessible game. Browser-native games provide a compact but behavior-dense testbed: even simple games require coordinated input handling, spatial mapping, rule execution, state transitions, terminal conditions, restart behavior, and visible feedback. In WebGameBench, each generated artifact is built, served, and exposed as a browser-accessible application under a unified deployment protocol. A runtime evaluator then interacts with the delivered game in a real browser and assigns a three-way label: EXCELLENT, USABLE, or UNUSABLE. On a human-reviewed subset, the runtime label is broadly aligned with human gameplay review under the Usable-rate criterion. Across 111 tasks, 12 coding agents, and 14 evaluation configurations, WebGameBench separates current systems: the best configuration reaches a 76.9% usable rate but only a 20.2% excellent rate. This gap shows that crossing the minimum playable-delivery threshold is still far from complete requirement satisfaction. To our knowledge, WebGameBench is the first requirement-to-application benchmark for browser-native game delivery that validates delivered-application runtime labels against independent human gameplay review under the Usable-rate criterion.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Placed in Software engineering coding agents, one of 16 directions in LLM agents and tool use. Builds on 33 of its 39 references that are in the map. First posted on arXiv 17 May 2026.

Builds on

33 of 39 references.

Closest ancestors · 3

Same direction, newest first

  1. 2026GLM-5: from Vibe Coding to Agentic Engineering17 Feb
  2. 2025WebGen-Bench: Evaluating LLMs on Generating Interactive and Functional Websites from Scratch6 May
  3. 2024SWT-Bench: Testing and Validating Real-World Bug-Fixes with Code Agents18 Jun

Other references · 30

  1. 2021Program Synthesis with Large Language Modelscited by 3,509
  2. 2023SWE-bench: Can Language Models Resolve Real-World GitHub Issues?cited by 3,193
  3. 2023WebArena: A Realistic Web Environment for Building Autonomous Agentscited by 1,908
  4. 2024LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Codecited by 1,906
  5. 2023Mind2Web: Towards a Generalist Agent for the Webcited by 1,210
  6. 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,134
  7. 2021Measuring Coding Challenge Competence With APPScited by 879
  8. 2026DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligencecited by 877
  9. 2026Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfacescited by 515
  10. 2024AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agentscited by 450
  11. 2024MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineeringcited by 429
  12. 2024WebVoyager: Building an End-to-End Web Agent with Large Multimodal Modelscited by 424
18 more
  1. 2024WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?cited by 348
  2. 2018TextWorld: A Learning Environment for Text-based Gamescited by 304
  3. 2025PaperBench: Evaluating AI's Ability to Replicate AI Researchcited by 286
  4. 2019Interactive Fiction Games: A Colossal Adventurecited by 165
  5. 2024The BrowserGym Ecosystem for Web Agent Researchcited by 152
  6. 2024Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineeringcited by 146
  7. 2024BALROG: Benchmarking Agentic LLM and VLM Reasoning On Gamescited by 141
  8. 2024GameBench: Evaluating Strategic Reasoning Abilities of LLM Agentscited by 89
  9. 2025lmgame-Bench: How Good are LLMs at Playing Games?cited by 54
  10. 2024SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositoriescited by 52
  11. 2024Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototypingcited by 50
  12. 2018General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithmscited by 45
  13. 2021The MineRL 2020 Competition on Sample Efficient Reinforcement Learning using Human Priorscited by 40
  14. 2024Sketch2Code: Evaluating Vision-Language Models for Interactive Web Design Prototypingcited by 29
  15. 2026WebCoderBench: Benchmarking Web Application Generation with Comprehensive and Interpretable Evaluation Metricscited by 15
  16. 2025WebUIBench: A Comprehensive Benchmark for Evaluating Multimodal Large Language Models in WebUI-to-Codecited by 14
  17. 2025TALES: Text Adventure Learning Environment Suitecited by 9
  18. 2025E2Edev: Benchmarking Large Language Models in End-to-End Software Development Taskcited by 6

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 9.

9 papers.

Similar, not cited

Close in wording, no citation either way

  1. 2026OpenGame: Open Agentic Coding for Games
  2. 2026GameDevBench: Evaluating Agentic Capabilities Through Game Development
  3. 2026GameEngineBench: Evaluating Coding Agents on Real C++ Runtime Environments
  4. 2026CraftBench-UE: Deterministic Evaluation for Coding Agents in Unreal Engine
  5. 2026Code2Games: Enabling Coding Agents for Gaming World Generation
  6. 2026Compiled Agency: Frontier General-Purpose Coding Agents Build Winning Game Players from Bare Interaction - from Flappy Bird to StarCraft II and Civilization
  7. 2026ProgramDistill: From Interactive Web Apps to Verifiable Reference-Guided SWE Tasks
  8. 2026GameReplica: A Benchmark for Black-Box Visual Game Replication by Vision-Language Agents