Gitea VS go

Create a system service. Download the file and save it to /etc/systemd/system/ or view the raw file in a browser and replace the URL with the version of Gitea you installed. You can find the list on https://github.com/go-gitea/gitea/blob/release/v1.22/contrib/systemd/gitea.service:

Linux Mint with Cinnamon: https://www.linuxmint.com/ as far as desktop OSes go it's familiar (Ubuntu without snaps by default), whereas the UI feels both snappy, doesn't use too much resources and is actually pretty to look at.

MobaXTerm: https://mobaxterm.mobatek.net/ this one is a bit more Windows centric but I ended up paying for it and replaced mRemoteNg and PuTTY with it, it's even better than Remmina or whatever Linux has to offer - you can manage SSH/RDP/VNC/... sessions, input across multiple sessions side by side and it just simplifies things a lot (jump host support, a port forwarding too and so much more).

GitKraken: https://www.gitkraken.com/ also a piece of software that I paid for, this one actually makes using Git pleasant, feels better to use than SourceTree and Git Cola (even though that latter is wonderfully lightweight, too) and honestly I prefer that to the CLI nowadays.

Kanboard: https://kanboard.org/ is a lightweight Kanban project management tool, it might not have every feature under the sun but it's the most snappy project management tool I've ever used, looks simple and runs well. I honestly love it, what a nice thing to have.

Most modern text editors and IDEs: I personally pay for JetBrains IDEs but also like Visual Studio Code as a text editor and both have helped me immensely, they're reasonably performant when you have the RAM, look nice, often give you suggestions about how to improve your code and also have a plethora of plugins in their ecosystems. Nowadays I unapologetically use LLMs as well and overall it feels like I have these great tools and cool autocomplete (that is sometimes a bit silly and wrong) at my disposal, that makes me happy.

Kdenlive: https://kdenlive.org/ imagine if there was a successor to Windows Movie Maker, though something that gets most of the important stuff out of Sony Vegas, except is also completely free and works on most platforms. Kdenlive is all of that and also somehow quite pleasant to use, I actually prefer it to DaVinci resolve. There is a bit of a learning curve to any piece of software like this, but everything mostly makes sense in this one.

Gitea: https://about.gitea.com/ I still use this for my personal Git repositories and integrating with CI systems and it's lightweight, looks good and just feels pleasant to use. Previously I self-hosted GitLab and constantly ran into resource exhaustion as well as doubts about the next update is going to corrupt all of my data and break (it did), so now I use Gitea instead.

Drone CI: https://www.drone.io/ a container native CI solution that I can also self host. It's container oriented, integrates with Gitea nicely, is similarly nice to GitLab CI and doesn't cause me headaches like Jenkins would.

Docker: https://www.docker.com/ yes, even Docker desktop. It just makes working with containers really pleasant and predictable, even when something like Podman also exists (and also is great). I don't know, I feel like Docker really saved me from having brittle legacy environments, even self-contained containers with health checks and resource limits with still the same brittle code inside of those make me feel way more safe.

Same [1]. Zoom being outsourced to the implementing platform is one major pain-point. That example from us has grown in size.

We are clearly using the wrong tool for a diagram of this complexity, but the practicality of seeing commit changes in the diff, what property was changed by whom and instantly having the visual feedback in the Pull Request is just way too useful to use a "proper" tool.

[1] https://github.com/go-gitea/gitea/issues/25803

It's a tangent, but I think it's interesting that Gitea started trying to self host in Feb 2017 (https://github.com/go-gitea/gitea/issues/1029) and hasn't got there yet (based on how active the github issues/PR page are).

https://about.gitea.com/ offers me a "free cloud trial" and otherwise sounds very like other web front ends to git. So like github, except they don't trust it themselves.

In contract forgejo has "Self-hosted alternative to GitHub" written in big letters on the landing page. https://codeberg.org/forgejo is indeed self hosted.

Gitea is a versatile tool for creating and managing git-based repositories, streamlining Code Review to enhance code quality for users and businesses. It integrates a CI/CD system, Gitea Actions, compatible with GitHub Actions, allowing users to create workflows in YAML or use existing plugins. Gitea's project management features include issue tasks, labeling, and kanban boards for efficient management of requirements, features, and bugs. These tools integrate with branches, tags, milestones, assignments, time tracking, and dependencies to plan and track development progress. Furthermore, Gitea supports over 20 package management types, such as Cargo, Composer, NPM, and PyPI, catering to a wide range of public or private package management needs. This comprehensive suite of features makes Gitea a powerful platform for managing development projects and packages.

Golang has a ton of single binary websites out there. The two that come to mind off hand are Gogs/Gitea only because I contributed to them

https://github.com/gogs/gogs

https://github.com/go-gitea/gitea

My problem with Fossil is that it is a "one solution for all problems". Fossil packs all solutions together while the Git ecosystem provides several different solutions for each problem.

When you want to do things that Fossil is not meant to do, then you're in trouble. I have no idea on how to do CI/CD and DevOps with Fossil and how to integrate it with AWS/Azure/GCP.

I find that the whole ecosystem of Gitlab/Github and stand-alone alternatives like Gitea [1], Gogs [2], Notion, Jira and others is way more flexible and versatile.

[1] https://about.gitea.com/

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

When Go first shipped, it was already well-documented that the only stable ABI on some platforms was via dynamic libraries (such as libc) provided by said platforms. Go knowingly and deliberately ignored this on the assumption that they can get away with it. And then this happened:

https://github.com/golang/go/issues/16606

If that's not "getting burned", I don't know what is. "Trying to provide a nice feature" is an excuse, and it can be argued that it is a valid one, but nevertheless they knew that they were using an unstable ABI that could be pulled out from under them at any moment, and decided that it's worth the risk. I don't see what that has to do with "not being as broadly compatible as they had hoped", since it was all known well in advance.