Mermaid VS ent

Mermaid JS is a tool that lets you create diagrams and charts such as flowcharts, sequence diagrams, Gantt charts using simple text commands. It works by converting your text commands into a graphical representation that you can customize and share. https://mermaid.live/

I'm not OP, but I just ask GPT to turn code or process or whatever else into a mermaid diagram. Most of the time I don't even need to few-shot prompt it with examples. Then you dump the resulting text into something like https://mermaid.live/ and voilà.

I like excalidraw for live discussions but if I want to make more detailed or better looking diagrams, I really enjoy these two tools:

- For drag-and-drop/WYSIWYG, I really like DrawIO. They have a web version https://app.diagrams.net/ but I strongly recommend the desktop version https://github.com/jgraph/drawio-desktop/releases/

- For text-as-diagram, I think Mermaid wins this by default since GitHub added markdown support for these: https://mermaid.live/ (This was github's announcement https://github.blog/2022-02-14-include-diagrams-markdown-fil... )

After hours without being able to solve this problem, I decided to make the chart directly in Mermaid's live editor and export it to PNG and SVG. The big problem is that the letters are still too small, the quality of the PNG is very low, and the SVG only works on the web, not with other applications like PowerPoint and Inkscape.

You can export to PNG and other formats in the Mermaid editor https://mermaid.live/

Copy paste code here: https://mermaid.live

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