Survey: a third of senior developers say over half their code is AI-generated

While I understand that <Enter model here> might produce the meaty bits as well, I believe that having a truck factor of basically 0 (since no-one REALLY understands the code) is a recipe for a disaster and I dare say long term maintainability of a code base.

I feel that you need to have someone in any team that needs to have that level of understanding to fix non trivial issues.

However, by all means, I use the LLM to create all the scaffolding, test fixtures, ... because that is mental energy that I can use elsewhere.

… then you are not a senior software engineer

Java: https://docs.parasoft.com/display/JTEST20232/Creating+a+Para...

C# (nunit, but xunit has this too): https://docs.nunit.org/articles/nunit/technical-notes/usage/...

Python: https://docs.pytest.org/en/stable/example/parametrize.html

cpp: https://google.github.io/googletest/advanced.html

A belief that the ability of LLMs to generate parameterizations is intrinsically helpful to a degree which cannot be trivially achieved in most mainstream programming languages/test frameworks may be an indicator that an individual has not achieved a substantial depth of experience.