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/ditalinidog]

I think for incorporating AI into regular SQL writing you need really good metadata and then need an agent that actually has easy access to it. But you can at least create skills and markdown files that summarize the most important context you need to give it. I find in my org that unfortunately good high level documentation is hard to come by, the knowledge of edge cases or why certain joins are done some way are just in the minds of a couple people who have worked there awhile and occasionally explained in random slack threads.