cli-guidelines
go
cli-guidelines | go | |
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47 | 2,075 | |
2,788 | 119,718 | |
0.9% | 0.7% | |
3.6 | 10.0 | |
about 1 month ago | 3 days ago | |
CSS | Go | |
Creative Commons Attribution Share Alike 4.0 | BSD 3-clause "New" or "Revised" License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cli-guidelines
- Ask HN: Where to read about terminal UIs?
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Ask HN: Do you read Secrets from Environment Variables
The Command Line Interface Guidelines [1] says:
> Do not read secrets from environment variables
> Secrets should only be accepted via credential files, pipes, `AF_UNIX` sockets, secret management services, or another IPC mechanism
Which one of these do you use? On github it seems common for projects to use environment variables for secrets.
[1] https://clig.dev/#environment-variables
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Command Line Interface Guidelines
Seems they took a small step back from their previous "don't bother with man pages" stance. Now it's "Consider providing man pages."
I still find it a rather shocking order of priority, honestly.
https://clig.dev/#documentation
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Ask HN: Best way to do scoped commands in a CLI app
- E. `blah project foo --edit`
Wondering if there was any guidance on this from the UNIX people. Perhaps scoping should be done using the file system. `cd path/to/project && blah edit`. Like git does with `git --cwd=path/to/project`. Maybe a virtual FS could even be used. Then you wouldn't have to continuously type in the scope with each command. Interesting thinking about how to maintain state in the terminal...thinking about how Python's virtual env bin/activate modifies the shell.
Found an interesting guide here: https://clig.dev/
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CLI user experience case study
Capturing these guidelines is one of the primary reasons that https://clig.dev/ exists.
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Introducing my Password Manager project - Seeking Feedback and Contributions
You may want to take a look at various existing CLIs to get inspiration on how they operate, the user feedback loop and the ergonomics on using them. Here is a great website on some CLI structing guidance https://clig.dev/
go
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Go: the future encoding/json/v2 module
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.
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Evolving the Go Standard Library with math/rand/v2
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
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Microsoft Maintains Go Fork for FIPS 140-2 Support
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.
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Borgo is a statically typed language that compiles to Go
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
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AWS Serverless Diversity: Multi-Language Strategies for Optimal Solutions
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.
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How to use Retrieval Augmented Generation (RAG) for Go applications
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!
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From Homemade HTTP Router to New ServeMux
net/http: add methods and path variables to ServeMux patterns Discussion about ServeMux enhancements
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Building a Playful File Locker with GoFr
Make sure you have Go installed https://go.dev/.
- Fastest way to get IPv4 address from string
- We now have crypto/rand back ends that ~never fail
What are some alternatives?
redox - Mirror of https://gitlab.redox-os.org/redox-os/redox
v - Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
nodejs-cli-apps-best-practices - The largest Node.js CLI Apps best practices list ✨
TinyGo - Go compiler for small places. Microcontrollers, WebAssembly (WASM/WASI), and command-line tools. Based on LLVM.
bubblewrap - Low-level unprivileged sandboxing tool used by Flatpak and similar projects
zig - General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
typer - Typer, build great CLIs. Easy to code. Based on Python type hints.
Nim - Nim is a statically typed compiled systems programming language. It combines successful concepts from mature languages like Python, Ada and Modula. Its design focuses on efficiency, expressiveness, and elegance (in that order of priority).
argparse-benchmarks-rs - Collected benchmarks for arg parsing crates written in Rust [Moved to: https://github.com/rosetta-rs/argparse-rosetta-rs]
Angular - Deliver web apps with confidence 🚀
picocli - Picocli is a modern framework for building powerful, user-friendly, GraalVM-enabled command line apps with ease. It supports colors, autocompletion, subcommands, and more. In 1 source file so apps can include as source & avoid adding a dependency. Written in Java, usable from Groovy, Kotlin, Scala, etc.
golang-developer-roadmap - Roadmap to becoming a Go developer in 2020