About This Episode:
As AI tools like Copilot, Claude, and Cursor start writing more of our code, the biggest challenge isn’t generating software — it’s trusting it.
In this episode, JP (Jayaprabhakar) Kadarkarai, founder of FizzBee, joins Joe Colantonio to explore how autonomous, model-based testing can validate AI-generated software automatically and help teams ship with confidence.
FizzBee uses a unique approach that connects design, code, and behavior into one continuous feedback loop — automatically testing for concurrency issues and validating that your implementation matches your intent.
You’ll discover:
Why AI-generated code can’t be trusted without validation
How model-based testing works and why it’s crucial for AI-driven development
The difference between example-based and property-based testing
How FizzBee detects concurrency bugs without intrusive tracing
Why autonomous testing is becoming mandatory for the AI era
Whether you’re a software tester, DevOps engineer, or automation architect, this conversation will change how you think about testing in the age of AI-generated code.
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About
JP Kadarkarai founded FizzBee, an autonomous testing platform that validates software behavior and helps teams ship code with confidence. Before FizzBee, JP spent nearly 20 years building large-scale distributed systems and AI applications at Google and other startups. FizzBee’s mission is to help developers deliver high-quality software faster, especially as AI begins to write more of the code we run.
Connect with Jayaprabhakar Kadarkarai
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- Company: www.fizzbee.io
- LinkedIn: jayaprabhakar
- Twitter: @jayaprabhakark
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