[altmanaltman]

While there is a compelling case for leveraging the full power of Postgres (especially features like SKIP LOCKED and pg_notify), this approach feels like a classic trade-off between fine-grained control and long-term maintainability.

Relying solely on raw SQL and manual mapping certainly eliminates "ORM magic," but it replaces it with a significant maintenance burden.

For specialized, high-performance systems like video transcoding, this level of hand-tuning is a superpower; however, for the average CRUD-heavy SaaS app, the "boilerplate tax" of writing eighty lines of repository code for a simple related insert might eventually cost more in development velocity than the performance gains are worth.

[nicoburns]

> for the average CRUD-heavy SaaS app, the "boilerplate tax" of writing eighty lines of repository code for a simple related insert might eventually cost more in development velocity than the performance gains are worth.

Perhaps, but IME this kind of thing is much more often the cause of poor performance in CRUD apps than the frontend frameworks that are usually blamed. I have been able to make very snappy SaaS apps by minimizing the number of queries that my API endpoints need to perform.

I've also found that the ORM mainly reduces boilerplate for Insert/Update operations, but often adds a very significant amount of boilerplate for read queries. We ended up using a very lightweight orms for simple inserts / upserts and writing raw SQL for anything else.

[manuelabeledo]

> For specialized, high-performance systems like video transcoding, this level of hand-tuning is a superpower

Where does SQL fall in the video transcoding pipeline?