Knowns and Unknowns: Testing AI-Generated Code

Knowns and Unknowns: Testing AI-Generated Code

Let's face it, AI-assisted coding is rapidly becoming the primary way applications are being written. The power of writing a complex application or feature with just a few commands is too alluring to pass up.
But between the imprecise nature of language and LLMs' ability to "hallucinate", this creates many opportunities for bugs and unintended behavior to be introduced. Just telling an AI coding agent to "write tests" isn't enough to build confidence in an application's correctness, either.
In this presentation, we will review three distinct phases of testing AI-written code. The known knowns: using spec-driven development to define the business-meaningful behavior of your application. Known unknowns: using property-based testing to handle edge cases and avoid overfitting and unintended biases. And finally, unknown unknowns: using static analysis and mutation testing to avoid introducing bugs you didn't think about.
AI-assisted coding is a rapidly evolving field, but this presentation should provide you with a framework and approach to build confidence when using AI to assist with writing applications.

SPEAKER - BILLY KORANDO
Billy is a Java Developer Advocate with the Java Platform Group at Oracle. With over a decade of experience in Java, Billy brings a passion for helping developers reduce tedious work, such as project initiation, deployment, testing, and validation, through automation and adopting the latest features and tools in the Java ecosystem. Outside of work, Billy enjoys traveling, playing kickball, and cheering on the Kansas City Chiefs. Billy also co-organizes the Kansas City Java Users Group.
DEVNEXUS April 5-7, 2027
Devnexus is the largest and longest-running community-driven developer conference in the USA. 2027 has its strongest focus ever on helping our community prepare for, navigate, and thrive in our AI-driven dev world.
Full-day training
10 concurrent tracks
1500+ developers
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