1. Natural Language Communication with Corellium’s API: Setting up the environment to facilitate this, including Python script (hello.py) preparation.
2. Input Fuzzing with GPT-4V Feedback: Using random inputs and screenshot analysis to achieve specific application states, utilizing Corellium for device management and GPT-4V for screenshot evaluations (main.py).
3. Nightly Testing with GPT-4V Feedback: Implementing nightly app functionality checks running on Google Cloud Run, with AWS SES for sending email updates based on test results (google_main.py).
The webinar provides practical insights into integrating AI with virtual Corellium devices for testing automation and monitoring. The full code is available here.