aaaaxy VS go

> Your game looks great, congrats on your progress! I especially enjoyed how the zoom works when you're leaving/arrive planets, and the unique propulsion system (also, the anchor made me giggle!).

Thank you. Feedbacks are very much appreciated. There is still a long was until an eventual release, but it's very fun to work on it.

> I tend to not need many, so I'd be curious if you can recall any structure in particular which you couldn't find? No biggie if not.

I had trouble finding basic structures like sets or linked lists, as much as more specific ones like R-tree, M-tree, KD-tree quad-tree or specific kinds of tries.

When quickly searching on Google, there are pretty much always some results, but when looking at the details it's not that great. Most of the packages have some kind of flaw that was a deal-breaker for me. Most common ones are:

- The package is something developed by one guy 4 years ago, and has pretty much no stars and is abandoned

- The structure is somehow backed by the native `map`, meaning that it has the same randomized iteration order

- There is some kind of logic to try to handle multi-threading, mixed-up with the data structure's logic. Often with mutexes/locks, thus killing the performance. My game is pretty much only mono-thread, and I just need something simple and that does not care about synchronization.

- The structure is not generic, but only uses `interface{}`

- The structure lacks tests or have unreadable code made of 1-letter variables

> I'm not a game dev, but I've seen some larger games such as https://github.com/divVerent/aaaaxy/tree/main/internal (if you haven't played it before—do it!) which seems to be able to place everything into separate packages without issue, so perhaps there's something to gleam from their architecture?

Thanks for the reference. After looking at it, is seems to me that they are creating really tiny packages made of one or two files. I don't want my codebase to end-up with thousands of 1-file packages, it does not seem very maintainable. I want to keep having packages with clearly defined purposes and domains.

> Hash map iteration shouldn't be sorted in _any_ language (here's Rust, for example https://play.rust-lang.org/?version=stable&mode=debug&editio... (Python makes it _appear_ as if dicts are sorted hash maps, but that's only because it doesn't only use a hash table, but a vector as well (same as you'd have to do in Go))), otherwise it would cause both portability and security (https://github.com/golang/go/issues/2630) issues. You should probably be using a b-tree if you aren't willing to sort it yourself.

I think that you didn't understand my message (or I didn't explain clearly enough). I do not need the items to be sorted, I need the iteration order to be consistent.

Let's say that I insert A, B and C in a map, then want to iterate on it. I will get an unspecified order, maybe ABC, maybe CBA, maybe BAC, which does not matter to me. However, in any language, this order will be consistent across all future iterations unless the data is changed. This is a natural property of any data structure. So if I got CBA in the first loop, I will also get CBA in the second and third loops.

In golang this is not the case because they actively inserted a random order. It means that even if the data does not change, I may get CBA in the first iteration, but BAC in the second, then ABC... Which created a ton of issues for me.

> If you don't care about unloading https://github.com/pkujhd/goloader

AAAAXY (version 1.2.280+20220822.2294.9ff4b8b7): A nonlinear 2D puzzle platformer taking place in impossible spaces.

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/.