jennifer VS ent

We have a repo/library called fasten-sources which is made up of mostly generated code (using dave/jennifer)

Check out my https://github.com/dave/rebecca package for a neat way of building readme docs by embedding Go docs and examples. It generates the readme for https://github.com/dave/jennifer (see https://github.com/dave/jennifer/blob/master/README.md.tpl).

The design of the wrapper functions meant we couldn’t easily unmarshal the CUE value into the wrapper functions. This meant we needed to generate unmarshalled functions for the config types. We use the excellent Jennifer library by Dave (no really; github.com/dave/jennifer) for generating Go files.

I've used https://github.com/dave/jennifer in the past, and been very happy with it.

If specifically for generating Go code, I would suggest you take a look at Jennifer.

I just spent a few hours writing a crapload of boilerplate code generation code with jennifer, if that helps any.

In this article, we'll delve into the world of concurrency control in Go, specifically focusing on the optimistic locking approach. We'll explore its implementation using Ent ORM to illustrate how to manage data consistency when multiple users interact with the same resource. Keep in mind that this example serves as a simplified illustration, and real-world booking systems involve a many of additional complexities. However, the core concepts presented here provide a solid foundation for understanding optimistic locking in Go applications. Feel free to explore the complete source code in my GitHub repository for a more in-depth look at the implementation.

ent is a fairly recent ORM that uses a code-first approach where you define your schema in Go code. Ent is popular thanks to its ability to handle complex data models and relationships elegantly. It's statically typed, which can help catch errors at compile time. However, the learning curve might be steeper compared to more straightforward ORMs like GORM. It's a good fit for applications where complex data models and type safety are priorities.

If you found this article, than you are probably similar to how I was a few months ago. I started a project in Go that required a SQL backend and I wanted to use any tool that would help me build this backend quickly. I stumbled upon entgo (an ORM for Go) and decided to give it a try.

The ent orm for golang actually does some useful work for you. https://github.com/ent/ent

Backend Database interaction with entgo

You can use entgo.io for ORM stuff, it also has entgql extension that integrated with GQLGen. See more at the document: https://entgo.io/docs/tutorial-todo-gql