AIOps pipelines need more than a generic Python image. They often need LLM clients, prompt tests, structured output validation, RAG evaluation tools, telemetry libraries, and repeatable replay datasets. The bsmeding/aiops_cicd_* images provide a ready-to-use CI base for those workflows.
Python network automation often starts as a script and slowly becomes a change platform. Before that happens, it needs tests, dry runs, and guardrails.
Source-of-truth automation is powerful because it changes the system that other automation trusts. That also makes it risky. A broken sync job can create bad devices, duplicate prefixes, wrong interface names, or stale custom fields.
APIs are great, but most networks still have a lot of operational truth hidden in CLI output. A useful NetDevOps pipeline can parse that output and test it like normal data.