kickstartDS VS parsers

Implementation: Integrate specialist libraries for specific requirements, like we do with Bedrock Layout Primitives for layout needs in kickstartDS itself

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Specify if also a good all-in-one tool I just found yesterday https://specifyapp.com/

Today quite some companies are already tackling similar problems. Talking of Knapsack.cloud, Backlight.dev, Specify, Supernova and many more, here. They all deliver value to simplify workflows for setup, integration, documentation and management of Design Systems. This is all super helpful in spreading the love about Design Systems to teams out there, and is a huge benefit to the process side of things. But you usually still need to create or import all of your components, which means that you still have some hard work before to you yourself, before finally benefitting from these tools. There’s also a lot (knowledge and work) going into the setup of a Design System (semantic tokens, hardened components, etc) that’s not solved by those tools, yet.

By default Specify returns design data in JSON but thanks its open source parsers you can transform your design data in any formats. I repeat, in any formats.

https://story.to.design/ https://specifyapp.com/

At Specify, We started experimenting with the Shape Up methodology a few weeks ago to define focused projects, address unknowns, and increase collaboration and engagement within the team. So, I started to learn more about how other teams implemented it, too.

here's a list of their parsers: https://github.com/Specifyapp/parsers/tree/master/parsers

For each rule we can use a different filter, such that the rule only applies to certain types of design tokens. Next to filters, we can also use parsers, which will manipulate the raw design tokens (which are in JSON format) and output a format that suits the programming language and platform more. Parsers behave like a pipeline, where each parser receives the input of the previous one. There are a lot of parsers to choose from, some perform very low level transformations such as round-number and camelcasify, but also full-blown parsers to a single technology such as to-tailwind and to-react-native.