roadmap VS speakeasy

Good to see, waiting on https://github.com/opentffoundation/roadmap/issues/8 so can do some testing (yes can build from source, but I'd rather use the releases)

Not the OP, but I suspect HN has trimmed the anchor link.

> https://github.com/opentffoundation/roadmap/issues/24#issuec...

That's the comment that made the issue clear -- specifically TOS were amended for https://registry.terraform.io to state:

> You may download providers, modules, policy libraries and/or other Services or Content from this website __solely for use with, or in support of, HashiCorp Terraform.__

ie., it looks like the intent is "You can't use OpenTF with registry.terraform.io".

IMO, that feels a little petty. But, I guess if OpenTF is taking a position of "Use us instead of Terraform", then they shouldn't expect to get the usage of Hashicorps infra.

Making sure there aren't any trademark infringements left, that we have some basic community process in place, etc.

There's unfortunately a bunch of these things we have to do before we can publish. We created a public roadmap repo if you'd like to track the progress[0]. We're doing our best to make it public as soon as possible.

[0]: https://github.com/opentffoundation/roadmap/milestones

Disclaimer: Work at Spacelift, and currently temporary Technical Lead of the OpenTF Project, until it's committee-steered.

I’ve built conviction that code generation only gets useful in the long term when it is entirely deterministic, or filtered through humans. Otherwise it is almost always technical debt. Hence LLM code generation products are a cool toy, but no sensible teams will use them without an amazing “Day 2” workflow.

As an example, in my day job (https://speakeasyapi.dev), we sell code generation products using the OpenAPI specification to generate downstream artefacts (language SDKs, terraform providers, markdown documentation). The determinism makes it useful — API updates propagate continuously from server code, to specifications, then to the SDKs / providers / docs site. There are no breaking changes because the pipeline is deterministic and humans are in control of the API at the start. The code generation itself is just a means to an end : removing boilerplate effort and language differences by driving it from a source of truth (server api routes/types). Continuously generated, it is not debt.

We’ve put a lot of effort into trying to make an LLM agent useful in this context. However giving them control of generated code directly means it’s hard to keep the “no breaking changes”, and “consistency” restrictions that’s needed to make code generation useful.

The trick we’ve landed on to get utility out of an LLM in a code generation task, is to restrict it to manipulating a strictly typed interface document, such that it can only do non-breaking things to code (e.g. adjust comments / descriptions / examples) by making changes through this interface.

In my mind the analagous behaviour would be if the golang checksum database added in license terms that stated "you need to abide by a BSL to use data from this service". What that actually would mean is so nebulous that it feels threatening.

[0] Source: https://registry.terraform.io/v1/providers/airbytehq/airbyte...

[1] Source: https://github.com/airbytehq/terraform-provider-airbyte/tree... gzipped : ~300 resources, ~300 data sources

(NB: in airbyte's case the TF Provider was generated from a ~150Kb OpenAPI spec via https://speakeasyapi.dev: implying docs could be compressed even more)

I'm working on a company https://speakeasyapi.dev/ with the goal helping companies in this ecosystem get great production quality client sdks, terraform providers, cli(s) and all the developer surfaces you may want supported for our API. We also manage the spec and publishing workflow for you so all you have to do is build your API and we'll do the rest.

Feel free to email me at [email protected] or join our slack (https://join.slack.com/t/speakeasy-dev/shared_invite/zt-1cwb...) . We're in open beta and working with a few great companies already and we'd be happy for you to try out the platform for free!

Hi all I am a founding engineer for a API Experience company called Speakeasy - speakeasyapi.dev and we have recently released a Client SDK Generator for APIs using OpenAPI 3.0.X documents (soon to support 3.1). The generator will generate idiomatic Golang SDKs (along with other languages) that feel natural to use, easy to mock, and just work. The generator is free to use and can be run via a standalone golang built CLI with no external dependencies that can be easily installed as a binary or via homebrew (mac & linux). Check it out here https://github.com/speakeasy-api/speakeasy. If you have any questions or want to get in touch to see how Speakeasy can help you improve your APIs, just let me know!

The generator has been battle tested on thousands of APIs and we are sharing the results in our github repo. If you want to try it out on your own, download the CLI or brew install and get started in minutes: