The presentation discusses emergence and its application in load testing. It also explores the concept of generative code and its potential benefits. The speaker emphasizes the importance of diverse and quality input in training AI for emergence.
- Emergence is the evolution of the whole beyond its parts in unexpected ways
- Generative code sets the when, not just the what or how
- Imperative testing is still prevalent, but there is potential for declarative testing
- To encourage emergence in load testing, define affordances, assign roles, rate tests, and allow imperfect evolution
- Quality and diverse input is crucial in training AI for emergence