The manual effort required to set up dynamic testing methods such as feedback-based fuzzing, presents a major barrier to adoption to many dev teams. CI Spark obliterates this barrier by automating the most labor-intensive parts of AI-powered white-box testing, which is identifying relevant entry points (e.g., an API that handles user data) and developing tests that are tailored to their structure.

In this demo, Khaled will

• walk through an example using CI Spark
• compare a CI Spark-generated test to a human-generated test
• give an outlook on upcoming features