micro-editor VS go

To see more screenshots of micro, showcasing some of the default color schemes, see here.

Not sure these are really popular, but I cannot resist advertising a few utilities written in Go that I regularly use in my daily workflow:

- gdu: a NCDU clone, much faster on SSD mounts [1]

- duf: a `df` clone with a nicer interface [2]

- massren: a `vidir` clone (simpler to use but with fewer options) [3]

- gotop: a `top` clone [4]

- micro: a nice TUI editor [5]

Building this kind of tools in Go makes sense, as the executables are statically compiled and are thus easy to install on remote servers.

[1]: https://github.com/dundee/gdu

[2]: https://github.com/muesli/duf

[3]: https://github.com/laurent22/massren

[4]: https://github.com/xxxserxxx/gotop

[5]: https://github.com/zyedidia/micro

> The worst way to store and manipulate text is to use an array.

Claim made from theoretical considerations, without any actual reference to real-world editors. The popular Micro[1] text editor uses a simple line array[2], and performs fantastically well on real-world editing tasks.

Meanwhile, ropes are so complicated that even high-quality implementations have extremely subtle bugs[3] that can lead to state or content corruption.

Which data structure is "best" is not just a function of its asymptotic performance. Practical considerations are equally important (arguably more so).

[1] https://github.com/zyedidia/micro

[2] https://github.com/zyedidia/micro/blob/master/internal/buffe...

[3] https://github.com/cessen/ropey/pull/67

There are two main ways to configure sudo.The first one is using the sudoers file.It is located at /etc/sudoers for Linux,and /usr/local/etc/sudoers for FreeBSD respectively.The paths are different,but the configuration works in the same way. A typical sudoers file looks like this. The sudoers file must be edited with the visudo command,which ensures the config is free of errors.Running this command as the root user will result in opening vi by default.If you want to use a different editor you can set the VISUAL environment varaible to the editor you want. For example,if you want to use micro as the text editor run:

found that micro has dedicated info page for copy paste

micro: winget install zyedidia.micro

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/.

The Go Programming Language