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: R uns 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/