c4-notation VS go

Second this.

Reference for anyone looking I to it: https://c4model.com/

There is also quite a lot of options for helping create these diagrams. I've found https://structurizr.com/ to be the best of what I've tried so far.

What you are describing sounds a lot like C4: https://c4model.com/

The C4 model [0] provides a mostly sensible structure and techniques for representing pure software systems across different abstraction levels.

For systems involving software and hardware, or other complex interfacing (both technology and bureaucracy) this starts to delve into the universe of systems engineering. There's a decent assembly of knowledge on that in the SEBoK [1].

As another commenter has already called out too, one of the most valuable sources of information is also _why_ a system is in its current form and _how_ that's changed over time. ADR's [2] really do a good job at nailing this for just about any scale.

[0]: https://c4model.com

[1]: https://sebokwiki.org

[2]: https://adr.github.io

There a various standards for documenting software architecture, like arc42 or C4. While useful and somewhat well-known (there is certainly a correlation here), here architecture documentation can be further simplified, particularly due to the self-similarity of project and component. Following is a small template, that can also serve as a project's and component's README:

I would suggest that if your architecture diagrams are a bunch of icons provided by AWS/Azure/GCP with lines pointing at each other... you are doing it wrong.

The 'what does this box do for my system' is vastly more important than the 'which in vogue offering from my cloud provider implements it'.

I highly suggest folks take a look at the C4 Model: https://c4model.com/

We often use abstractions in software engineering to communicate complex architectures and software systems. In this article, we’ll discuss how abstractions are inherently hierarchical and how the C4 model provides a nested structure for defining your software architecture. We’ll then cover how IcePanel allows you to create interactive and zoomable diagrams for your audience to zoom in and out of different levels of technical detail.

You probably want https://c4model.com/ which explains what a C4 architecture diagram is. (See the first footnote in the article.)

A Discussion about including this package in Go as encoding/json/v2 has been started on the Go Github project on 2023-10-05. Please provide your feedback there.

I like the Principles section. Very measured and practical approach to releasing new stdlib packages. https://go.dev/blog/randv2#principles

The end of the post they mention that an encoding/json/v2 package is in the works: https://github.com/golang/go/discussions/63397

There used to be the GO FIPS branch :

https://github.com/golang/go/tree/dev.boringcrypto/misc/bori...

But it looks dead.

And it looks like https://github.com/golang-fips/go as well.

I'm not sure what exactly you mean by acknowledgement, but here are some counterexamples:

- A proposal for sum types by a Go team member: https://github.com/golang/go/issues/57644

- The community proposal with some comments from the Go team: https://github.com/golang/go/issues/19412

Here are some excerpts from the latest Go survey [1]:

- "The top responses in the closed-form were learning how to write Go effectively (15%) and the verbosity of error handling (13%)."

- "The most common response mentioned Go’s type system, and often asked specifically for enums, option types, or sum types in Go."

I think the problem is not the lack of will on the part of the Go team, but rather that these issues are not easy to fix in a way that fits the language and doesn't cause too many issues with backwards compatibility.

[1]: https://go.dev/blog/survey2024-h1-results

Now, I’m not going to use C++ again; I left that chapter years ago, and it’s not going to happen. C++ isn’t memory safe and easy to use and would require extended time for developers to adapt. Rust is the new kid on the block, but I’ve heard mixed opinions about its developer experience, and there aren’t many libraries around it yet. LLRD is too new for my taste, but **Go** caught my attention.

Generative AI development has been democratised, thanks to powerful Machine Learning models (specifically Large Language Models such as Claude, Meta's LLama 2, etc.) being exposed by managed platforms/services as API calls. This frees developers from the infrastructure concerns and lets them focus on the core business problems. This also means that developers are free to use the programming language best suited for their solution. Python has typically been the go-to language when it comes to AI/ML solutions, but there is more flexibility in this area. In this post you will see how to leverage the Go programming language to use Vector Databases and techniques such as Retrieval Augmented Generation (RAG) with langchaingo. If you are a Go developer who wants to how to build learn generative AI applications, you are in the right place!

net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements

Make sure you have Go installed https://go.dev/.