#cicd

Asserting that an LLM returns an exact string is a guaranteed flaky test. Testing non-deterministic features means checking properties, not strings—and building eval sets, not just unit tests.

Automation and AI now handle the mechanical testing that used to fill a manual tester's day. That doesn't make human testers obsolete—it frees them for the work machines still can't touch.

Cómo integramos análisis estático de seguridad en el despliegue continuo de una aplicación FastAPI +...

Autor: Carlos Jimenez Laura Curso: Base de Datos II · Universidad Privada de Tacna Proyecto grupal:...

A practical AWS and CI/CD pattern for isolating email fixtures, proving cleanup, and promoting releases only when test evidence is complete.

Two papers appeared on arXiv in September that describe, from opposite ends, a pipeline control I...

I wrote my first Jenkins pipeline in 2016. Ten years later, the repository it started has more than...

When AI generates 60-80% of your code, the old QA job of hunting syntax bugs is mostly gone. The hard part now is proving the code does what the business actually meant.

Introduction Employers want engineers who can automate deployments, not just run them by...

Part 2: DevOps and the Workflows Around It The moment my webpage loaded in the browser, served from...

Data modeling used to live in a parallel universe from software engineering. Modelers drew diagrams...

A practical way to make automation dry runs predictable, reviewable, and easier to debug in local development and CI.