arXiv:2606.19830v1 Announce Type: cross Abstract: Current AI-driven game development has made substantial progress in asset generation, gameplay design, and web-based game coding, yet project-level code engineering on professional game engines remains largely unexplored due to the absence of large-scale datasets and deterministic evaluation methods. We present JamSet and JamBench, the first project-level game code framework dataset and benchmark built on a professional game engine. Our key insight is that Game Jam competitions, community events where developers build complete games under tight
The accelerating pace of AI development for game asset generation and gameplay design necessitates robust tools for project-level code engineering, which has been a missing piece.
This development addresses a critical gap in AI-driven game development, potentially accelerating the creation of complex games and democratizing access to professional game engine capabilities for AI systems.
AI can now operate more effectively at the project level within established game engines, moving beyond individual asset generation to more holistic game creation through specialized datasets and benchmarks.
- · Game developers
- · AI game development companies
- · Professional game engine providers
- · Manual game coding workforce
- · Small game studios lacking AI integration
AI models will begin generating more complete and functional game prototypes and modules within professional engines.
The cost and time required for game development, particularly for indie or smaller studios, could significantly decrease due to AI assistance.
The definition of 'game developer' may evolve to include AI system operators and curators, focusing less on direct coding and more on high-level design and refinement.
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