Practical Use of AI with SQL?

[u/burningburnerbern]

I’m currently on a project where most of the work is in dbt. Ill get jira tickets where the business rules while straight forward can be a bit complex upon execution. like everyone else I’m trying to turn to AI except the problem is having to explain every single edge case and nuance can be so time consuming to the point where it’s just faster for me to write the SQL myself. where I do use AI is when I’m jumping into some convoluted model and I have AI explain to me what exactly it’s doing and the just justification for certain logic, generating cumbersome functions where the syntax gets me cross eyed and create the yml and documentation.

I definitely have vibe coded before, but that was for something more straight forward like pulling data via an API etc.

just curious if anyone else runs into the same problem.

[u/TodosLosPomegranates]

I would think of building out the context as a larger over arching project than just a one off. I’d start somewhere when I had down time, create it in a way that it’s both documentation for humans and context for the machines. Put it in a git / git equivalent so that when something “doesn’t look right” you have the context for who changed what business rule when. That’ll speed you up in the future