vugu VS go

I can't share any of my own examples, but most of the work I do was originally based on Vugu[0] which is open source. It is loosely modelled on Vue, so template files have both HTML and Go source (for the view / front end / ui handling) in the one file.[1] The code I have written has since diverged a bit from Vugu but at its core it's handled the same way.

People are still working on Vugu (you can check the issues / branches) but there hasn't been a new release in a while; it's still somewhat experimental.

[0] https://www.vugu.org/

. Web backend (with various frameworks available) . Web Assembly (one of them is vugu framework) . Microservices (some frameworks: Go Micro, Go Kit, Gizmo, Kite) . Fragments services (Term mentioned by @jeffotoni in a microservices discussion group) . Lambdas (FaaS example) . Client Server . Terminal applications (using the tview lib) . IoT (some frameworks) . Bots (some here) . Client Applications using Web technology . Desktop using Qt+QML, Native Win Lib (example Qt, Qt widgets, Qml) . Network Applications . Protocol applications . REST Applications . SOAP Applications . GraphQL Applications . RPC Applications . TCP Applications . gRPC Applications . WebSocket Applications . GopherJS (compiles Go to JavaScript)

Aside from Blazor there's already some other projects like Yew (rust), seed (rust), asm-dom (C++) and vugu (Go) and more that have decent followings and activity. A lot more (especially managed languages) are waiting for some features to come online like wasm GC and host bindings (direct wasm access to browser apis which includes the DOM). It'll take a bit of time, but it'll get there eventually.

Vugu

It depends on how specifically you don't want to write HTML/CSS/JS and how broad your definition of "frontend" is. There are a handful of all-go frontend frameworks such as Vecty and Vugu of varying maturity and completeness. Then there's other libraries that more or less have you write HTML tags in go, such as go-app.

Something like Vugu looks like it could have some potential.

There is https://www.vugu.org/ It's Vue, but Go instead of JS.

A note on wasm: I'm building a hobby project with it right now and have tried different frameworks, I tried vecty which is nice to compile but full of bugs and unexpected behavior. I'm now on vugu which works better but is still harder to work with than a JS framework.

If you have the option go for https://www.vugu.org/ and use the go language. Much better language started by google in 2006 vs JavaScript which was started in I think 1995?

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/.