tengo VS go

> It also has a bunch of libraries for embedding scripting languages https://awesome-go.com/embeddable-scripting-languages, with Tengo _probably_ being the quickest https://github.com/d5/tengo

Yes, I noticed those packages recently. The problem is that there is little data about how reliable and maintainable goloader is going to be on the long term.

As I care about performance and security, I don't want a scripting language, but WASM seems to be a very promising possibility. I have made benchmarks with 2~3 WASM engines in Go, and so far I am not completely convinced about the quality and performance of the available APIs. Also, when compiling Golang to WASM, the native compiler is still abysmally bad and does not have full support for imports, so Tinygo is a must-have.

Anyway, modding is still a long term idea at this point, so hopefully the ecosystem will get more mature within a couple of years.

- https://github.com/d5/tengo

There are totally different things like https://github.com/d5/tengo but I don't know much about the docs, communities, or viability of them. Some like this one look very active and healthy. It might be worth considering.

I started doing this a few years ago when I wanted to add programmability to another system I was working on, and didn't want Lua or anything else like that. I set it aside when other priorities arose, and didn't return to it when I saw that others had already done the same thing (yaegi, tengo).

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/.