In today's fast-paced software development landscape, efficient workflows and clear responsibilities between development and design teams are crucial. One effective way to streamline these workflows is by automating component generation from design tools like Figma to code using powerful programming languages like Golang. This article will explore the process of converting Figma components to code, focusing on the... - Source: dev.to / 12 days ago

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. - Source: dev.to / 2 months ago

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... - Source: dev.to / about 2 months ago

Make sure you have Go installed https://go.dev/. - Source: dev.to / 2 months ago

I've been writing a lot about Go and gRPC lately:. - Source: dev.to / 3 months ago

Jsonnet[1] and kapitan[2] are the tools I currently use. Their learning curve is not optimal (and I tried to contribute to smoothen it with a jsonnet course[3] and a 'get started wit kapitan' blog post[4]), but once used to it it's hard to do without, and their combination makes them even more useful (esp. If you deploy K8s). In Ruud's case, Jsonnet might have been worth looking at as Hashicorp tools can be... - Source: Hacker News / 5 months ago

Kubernetes config is a decent example. I had ChatGPT generate a representative silly example -- the content doesn't matter so much as the structure: https://gist.github.com/cstrahan/528b00cd5c3a22e3d8f057bb1a75ea61 Now consider 100s (if not 1000s) of such files. I haven't given Pkl an in depth look yet, but I can say that the Industry Standard™ of "simple YAML" + string substitution (with delicate, error prone... - Source: Hacker News / 5 months ago

Maybe you'd like jsonnet: https://jsonnet.org/ I find it particularly useful for configurations that often have repeated boilerplate, like ansible playbooks or deploying a bunch of "similar-but" services to kubernetes (with https://tanka.dev). Dhall is also quite interesting, with some tradeoffs: https://dhall-lang.org/ A few years ago I did a small comparison by re-implementing one of my simpler ansible... - Source: Hacker News / 9 months ago

Apologies for the lack of context, and for missing this comment until today. Both are tools for defining kubernetes manifests (which are YAML) in a reusable manner. Jsonnet is a formally specified extension of JSON. It’s essentially a functional programming language (w/some object oriented features) that generates config files in JSON/YAML/etc, so it’s straightforward to determine whether an input file is valid,... - Source: Hacker News / about 1 year ago

I like Google's Jsonnet [1], which has all of this except for 4. Jsonnet is quite mature, with fairly wide language adoption, and has the benefit of supporting expressions, including conditionals, arithmetic, as well as being able to define reusable blocks inside function definitions or external files. It's not suitable as a serialization format, but great for config. It's popular in some circles, but I'm sad that... - Source: Hacker News / about 1 year ago