goenv VS go

What does this have that https://github.com/syndbg/goenv doesn't?

However this is still a neat script OP! I was looking for something like this when installing Go for the first time and was contemplating between goenv, gvm, and asdf before settling on brew.

There are Go version managers (like goenv) that let you install multiple versions of go without polluting global PATH/GOBIN/GOPATH.

I use GoEnv. I hate that I have to do it, but I have valid (if annoying) reasons. I'd rather just keep the most recent version installed.

https://github.com/syndbg/goenv is a shell implementation that uses a shim to make calls to go. drewgonzales360s version will symlink to whichever version of Go a user chooses.

I am surprised I only saw one comment for goenv. This is literally the easiest way for all languages that have something similar (Python, Ruby, Go, Terraform, etc.). You need to uninstall all your go binaries, then install goenv, and all you have to do is to put in a project a .go-version file containing a single line with the version you need. The files are searched by the tool in a hierarchical order: if in the current directory where go is ran, no .go-version file is found, the tool will look up one directory, if there’s no ../.go-version will try again and so on. Let’s say in the end you will want to run the same go-version across all your projects, all you have to do is to find the first common parent directory and put a .go-version file in there, or simply just put a file in the root directory (/.go-version) or just use the global file (~/.goenv/version).

Not really answering your question but if you want to use Go 1.18 already there's a Go versions management tool called goenv that already has Go 1.18 and you can use already.

Kubebuilder doesn’t support Go 1.17, so we need to install Go 1.16. I decided to use goenv to manager Go versions.

i use goenv. works like a charm.

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/.