jk VS cue

People have tried: https://github.com/jkcfg/jk

But yeah I agree. The thing is, if all you need is robust determinism why do you need a full functional language with currying and other complex concepts?

Google had the same problem for Bazel, and their solution (Starlark) is way easier to understand.

If I were writing a build system today (and I did just write one actually to test out some ideas) I would use Typescript for the language with something like jk to provide hermeticity. Typescript has many advantages, especially over Python, but mainly:

It's possible to sandbox most languages, and with some work you can probably make them deterministic too.

Here's an example: https://github.com/jkcfg/jk

That beats having to learn an entirely new language.

Maybe Javascript? A lot of web tools support Javascript config files. There's this nice-looking effort to provide a hermetic execution environment for them: https://github.com/jkcfg/jk and if you use Typescript you get an extremely good static type system too. Plus the language is already very well known with loads of tool support and documentation.

Definitely what I would use today.

If you think "but I need conditionals and file inclusion and ..." then maybe consider just allowing a full programming language instead. Someone pointed me to jk which looks like it is heading in the right direction, except that it outputs YAML by default for some insane reason.

You may be interested in jk. If you don't want to use a special purpose configuration language (jsonnet, cue, dhall, etc), this is a nice alternative that uses js in a hermetic runtime (but see their open issues for progress on that). They seem to also be adding native typescript support so you could even have type checking built-in.

I'm continuing to work on https://concise-encoding.org which is a new security-conscious ad-hoc encoding format to replace JSON/XML and friends. I've been at it for 3 years so far and am close to a release.

In a nutshell:

- Edit in text, transmit in binary. One can be seamlessly converted to the other, but binary is far more efficient for processing, storage and transmission, while text is better for humans to read and edit (which happens far less often than the other things).

- Secure by design: Everything is tightly specced and accounted for so that there aren't differences between implementations that can be exploited to compromise your system. https://github.com/kstenerud/concise-encoding/blob/master/ce...

- Real type support because coercing everything into strings sucks (and is another security risk and source of incompatibilities).

XML had a good run but was replaced by JSON which was a big improvement. JSON also had a good run but it's time for it to retire now that the landscape has changed even further: Security and efficiency are the desires of today, and JSON provides neither.

I've got the spec nailed down and can finally see the light at the end of the tunnel for the reference implementation in golang. I still need to come up with a system for schemas, but I'm hoping that https://cuelang.org will fit the bill.

Has anyone taken a look at Cue who can share any experiences?

https://cuelang.org/

It's mentioned on the site as an alternative to Yaml. Recently watched (~half of) this intro to it: https://youtu.be/fR_yApIf6jU

the most interesting summary explanation of cue lang and its differences is from a bug filing - https://github.com/cuelang/cue/issues/33

>CUE is a bit different from the languages used in linguistics and more tailored to the general configuration issue as we've seen it at Google. But under the hood it adheres strictly to the concepts and principles of these approaches and we have been careful not to make the same mistakes made in BCL (which then were copied in all its offshoots). It also means that CUE can benefit from 30 years of research on this topic. For instance, under the hood, CUE uses a first-order unification algorithm, allowing us to build template extractors based on anti-unification (see issue #7 and #15), something that is not very meaningful or even possible with languages like BCL and Jsonnet.

I agree with you. Personally, I think Cue is much better than either YAML, TOML or JSON because it adds the concept of types to the idea of describing configuration.

true, but the tooling and workflow remains the same.

Not sure of any tool that could abstract the details sufficiently to be widely adopted. There is just too much nuance in cloud config.

I'm exploring using CUE (https://cuelang.org) to define TF resources, exporting as JSON for TF. So far it's much nicer