opentofu VS tabby

Note - I focused on Terraform in this blog post, but you can of course also use OpenTofu. There is no barrier built into Terramate that would prevent you from doing so.

Note: New versions of Terraform will be placed under the BUSL license, but everything created before version 1.5.x stays open-source. OpenTofu is an open-source version of Terraform that will expand on Terraform's existing concepts and offerings. It is a viable alternative to HashiCorp's Terraform, being forked from Terraform version 1.5.6.

The OpenTofu initiative was launched with significant initial support, boasting over 18 full-time equivalents (FTEs) committed to the project from four companies. The manifesto has been endorsed by over 140 companies, involving 11 projects with the participation of over 700 individuals. Moreover, the manifesto has received more than 35,000 GitHub stars, and the fork itself has garnered over 6,000 stars in just one week.

Terraform/OpenTofu installed. We use Terraform in this article.

It's great to see more companies adopting OpenTofu!

As a side note, we've recently released OpenTofu 1.7 with end-to-end state encryption, enhanced provider-defined functions, and a bunch more[0].

If you've been holding out with the migration, now is the perfect moment to take another look, and join the many companies that have already migrated!

[0]: https://github.com/opentofu/opentofu/releases/tag/v1.7.0

Note: Tech Lead of the OpenTofu project

and more.

Hey!

> With OpenTofu exclusive features making such an early debut, is the intention to remain a superset of upstream Terraform functionality and spec, or allow OpenTofu to diverge and move in its own direction?

The intention is to let it diverge. There will surely be some amount of shared new features, but we're generally going our own way.

> Will you aim to stick to compatibility with Terraform providers/modules?

Yes.

Regarding providers, we might introduce some kind of superset protocol for providers at some point, for tofu-exclusive functionality, but we'll make sure to design it in a way where providers keep working with both Terraform and OpenTofu.

Regarding modules, this one will be more tricky, as there might Terraform languages features that aren't supported in OpenTofu and vice-versa. We have a proposal[0] to tackle this, and enable module authors to easily create modules with support for both, even when using some exclusive features of any one of them.

> Is the potential impact of community fragmentation on your mind as many commercial users who don’t care about open source ideology stick to the tried-and-true Hashicorp Terraform?

We've talked to a lot of people, and we've met many who see the license changes as a risk for them, while OpenTofu, with its open-source nature, is the less-risky choice. That includes large enterprises.

> Is there any intention to try and supplement the tooling around the core product to provide an answer to features like Terraform Cloud dashboard, sentinel policies and other things companies may want out of the product outside of the command line tool itself?

That's mostly covered by the companies sponsoring OpenTofu's development: Spacelift (I work here), env0, Scalr, Harness, Gruntworks.

[0]: https://github.com/opentofu/opentofu/issues/1328

Please remember to file in a calm and orderly fashion toward the exits and remember: IBM killed Centos for profit.

Terraform users can pick up their new alternative here:

https://opentofu.org/

and for those of you with Vault, you can find your new alternative here:

https://openbao.org/

Two other tools emerging in this category are SuperMaven and TabbyML, both use fast and secure LLM for code completion and recommendations.

https://github.com/TabbyML/tabby can run self-hosted AI coding assistants. I tried it a while ago and it worked with Nvim pretty easily. There is a VS code extension too. The extension will just sort of "read" with you and provide suggestions from time to time. Anytime the suggestion is good you can press some key ( by default) to accept it. It's basically autocomplete on steroids.

NixOS just got tabbyml[1] which is built on llama-cpp. Working on systemsd services the weekend and updating latest tabbyml release which supports rocm in addition to cuda

[1] https://github.com/TabbyML/tabby

[2] https://github.com/NixOS/nixpkgs/pull/291744

Nice implementation! It should serve as a great reference for a minimal Tabby's backend API. Thank you for sharing it!

Yeah - ultimately, it won't be as performant or feature-rich compared to https://github.com/TabbyML/tabby, but it's still perfect for educational purposes!

Looks interesting! What are the main differences between this and https://github.com/TabbyML/tabby ?

TabbyML | Software Engineer (Rust) | REMOTE

Self-hosted AI coding assistant. An opensource / on-prem alternative to GitHub Copilot.

Project: https://github.com/TabbyML/tabby

Tabby is seeking a Software Engineer proficient in Rust to join our core engineering team. In this role, you will be responsible for developing the following features: