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What is Razer QA Co-AI?

Razer QA Co-AI is an AI-driven quality assurance assistant that monitors gameplay sessions, automatically identifying, recording, and reporting bugs to streamline the testing process.

Key Features​

  • Instant bug report and Jira integration
    Razer QA Co-AI simplifies bug reporting with one-click video capture or annotable screenshot, automatically recording the 20 seconds leading up to an issue to provide instant visual context. The bug capture can also be triggered using a hotkey. QA testers can then fill in their bug details and send them to their Jira project seamlessly.

  • Performance Metrics Tracking
    Razer QA Co-AI tracks your game’s FPS, CPU usage, GPU usage, and Memory consumption in real-time while a QA session is running. User defines thresholds so potential performance issues are auto-detected anytime a threshold is breached.

  • AI-enhanced gameplay debugging
    Razer QA Co-AI enables game design-related bug detection through AI analysis of in-game events, identifying logical inconsistencies such as broken sequences, missing triggers, or unexpected behaviors. Integrated via the WYVRN SDK, it leverages game design inputs and fine-tuned AI models to monitor gameplay in real time. This intelligent tracking helps QA teams catch subtle design flaws early, reduce manual debugging, and improve overall testing accuracy.

Supported Platforms & Requirements​

  • Windows 10 or Windows 11
  • A stable internet connection is required to detect bugs and upload reports/videos to the web dashboard (recommended upload speed: 50 Mb/s)

Developer Notes​

This documentation and Razer QA Co-AI are continuously evolving, and we value your feedback to help improve them. If you have any suggestions or encounter any issues, please contact us.