Continuous QA Testing for Plugins Using AI and Python
In the fast-paced world of plugin development, maintaining audio quality and consistency can be challenging. This talk explores the integration of Python, AI, and scriptable plugin hosts to embed rigorous quality assurance into your developement workflow. Participants will learn practical strategies for setting up continuous QA processes, automating sonic tests, and verifying deterministic behaviors such as preset recall, parameter automation, and real-time audio analysis.
Key Points:
- Why continuous QA matters in audio plugin development.
- Setting up python hosts for automated audio plugin testing.
- Deterministic vs. non-deterministic audio measurements and analysis.
- Leveraging Python and AI techniques for automated detection of audio issues.
- Building scalable test suites and managing test data efficiently.
- Examples of measurable benefits, including reduced regressions and increased developer confidence.
Ryan Wardell
Ryan Wardell is an audio enthusiast who somehow survived years of navigating corporate cubicles, zoom calls and boardroom slide decks without completely losing his soul. With an extensive background in product development, QA, product design, and product management, Ryan managed to help deliver game-changing releases of Pro Tools at Avid and even helped Universal Audio embrace native plugins (yeah, you're welcome). He also had the privilege (or curse, depending on the day) of bringing LUNA to market. He loves turning concepts into real-world tools musicians actually use.
These days, Ryan splits his time between PACE and his own audio plugin and app startup, Storybored. When he is not buried in his laptop you'll find Ryan creating music, making espresso and practicing his latte art or looking for someone to talk kpop with him. 🙂