

AI-Powered Quality Assurance
10 snips May 31, 2024
Christoffer Holmgard and Nathan Martz discuss the future of AI in quality assurance for game development, sharing insights on players as a service, functional load testing, and collaboration between humans and AI agents. They highlight the evolution of QA testing, successful partnerships with studios, and the potential of AI to revolutionize game development processes.
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QA Shapes Player Experiences
- QA shapes not just if a game works, but what experiences it delivers to players.
- It filters out bad experiences and enhances positive ones for better gameplay.
Understanding the QA Test Pyramid
- QA testing pyramid ranges from unit tests at the bottom to playtesting at the top.
- Different methods test functionality, performance, and player experience progressively.
Boost QA with AI Access and Scale
- Invest in increasing QA access, scale, and flexibility to keep pace with game complexity.
- AI tools can empower QA teams with more capacity and dynamic testing possibilities.