Tampa QA Meetup × Tampa JUG Present

AI-assisted coding is quickly becoming the primary way applications are built. While it allows developers to create complex applications and features with only a few prompts, ambiguous language and AI hallucinations can introduce bugs, hidden assumptions, and unintended behavior.
Simply asking an AI coding agent to “write tests” isn’t enough to guarantee correctness.

Billy Korando is a Developer Advocate at Oracle and a member of the Java Platform Group’s Developer Relations team.

What to Expect

Billy will walk through three distinct phases of testing AI-generated code—from defining expected business behavior and covering edge cases to uncovering bugs and risks you may not have anticipated.

🎯 Highlights

• Known knowns: Use specification-driven development to clearly define the expected, business-relevant behavior of your application.
• Known unknowns: Apply property-based testing to explore edge cases and avoid overfitting and unintended biases.
• Unknown unknowns: Use static analysis and mutation testing to uncover issues that developers and AI agents may overlook.
• More reliable AI-generated code: Move beyond simply asking an AI coding agent to “write tests.”
• Stronger test coverage: Combine complementary testing methods to identify both expected and unexpected failures.
• A reusable testing framework: Learn an approach that can evolve alongside rapidly changing AI coding tools.

Agenda

• 5:45 PM–6:15 PM: Food and networking
• 6:15 PM–7:15 PM: Presentation
• 7:15 PM–7:45 PM: Closing and raffle
• 7:45 PM onward: Continue the conversation at a nearby bar or restaurant

Location

The event will take place in DTEC 427.
Please see the attached image for the building and parking locations.

Sponsor

Thank you to our sponsor, iDelsoft, for its generous support.
iDelsoft helps high-growth startups build and scale engineering teams through a network of more than 30,000 vetted developers across 150+ technologies.
Hiring—or exploring your next opportunity? Visit idelsoft.com.