AI Testing from Production Logs: Generate Smarter Regression Tests with Tanvi Mittal
No se pudo agregar al carrito
Solo puedes tener X títulos en el carrito para realizar el pago.
Add to Cart failed.
Por favor prueba de nuevo más tarde
Error al Agregar a Lista de Deseos.
Por favor prueba de nuevo más tarde
Error al eliminar de la lista de deseos.
Por favor prueba de nuevo más tarde
Error al añadir a tu biblioteca
Por favor intenta de nuevo
Error al seguir el podcast
Intenta nuevamente
Error al dejar de seguir el podcast
Intenta nuevamente
-
Narrado por:
-
De:
What if your production logs could automatically generate new test cases?
In this episode, Joe Colantonio sits down with Tanvi Mittal to break down how AI-powered log mining is changing the way teams approach software testing, quality engineering, and DevOps.
Most teams ignore production logs or use them only for debugging. But those logs contain real user behavior, real failures, and real edge cases—the exact scenarios your test suite is probably missing.
👉 Learn how to:
- Convert production logs into automated regression tests
- Use AI to detect real-world failure patterns
- Apply shift-right testing to catch bugs earlier (and smarter)
- Handle the challenge of testing non-deterministic AI systems
- Reduce flaky tests and automation debt with real data
If you're working with Playwright, Selenium, Cypress, or AI-driven testing tools, this episode will give you a completely new way to think about test coverage.
Todavía no hay opiniones