Testing AI Coding

Testing AI Coding

Testing AI-generated code:

 * Shift from a "code review" mindset to an aggressive "runtime verification" strategy.

 * Never let the same AI model write both the source code and the unit tests.


Checklist:
* Property Tests: Run randomized data to verify edge cases.
* Input Validation: Check nulls, empty strings, and malformed JSON.
* Dependency Audit: Pin explicit versions to flag stale training data.
* PR Tagging: Label code as [AI-Generated] to alert reviewers.
* Runtime Verification: Spin up ephemeral environments to observe actual execution behavior.

Tools:
 * Ito:  Runs your app, before reviewing the code. Uses Github PR. Attaches product demo video to PR. https://www.ito.ai/
 * Autonoma: Self-updating UI testing. https://getautonoma.com/
 * Testkube: CI against live infrastructure. Cloud-native. https://testkube.io/



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