Designers prototype because design is an iterative process, and using a prototyping tool allows us to go through those iterations without the delay and cost of coding.
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- Dynamic & responsive. Users nowadays expect a first-class experience across a range of screen sizes from 4 to 40 inches. React Studio has an advanced visual layout engine that lets you create smart keylines, use relative sizes together with device-independent offsets, and position elements on screen relative to screen edges, keylines, or preceding elements.
About This Game You are the Prototype, Alex Mercer, a man without memory armed with amazing shape-shifting abilities, hunting your way to the heart of the conspiracy which created you; making those responsible pay. Fast & Deadly Shape-Shifting Combat: Reconfigure your body to the situation at hand. From Claws to Blades to Hammers to Whips.
But sooner or later, that prototype has to get implemented as code with real world data, and that's when our problems start. Maybe a text area needs to be bigger, or different screen sizes throw off your carefully crafted proportions. Sometimes the coders simply cannot implement exactly what we've designed, and then it is back to the drawing boards.
But what if we could prototype in code, and your designs came to life immediately with real data?
Coders want to create value by writing new features. We also like to write code that is reusable. We don't like special cases, glue, and boilerplate.
What if you had an easy way to package reusable code components so that designers could simply use them to assemble an app out of components that you wrote — and debugged — before the designer even started on a project?
And what if the output of the design assembly was still your code inside a clean React scaffolding (and not some weird framework by a GUI tool vendor trying to lock you into their solution)? What if it also integrated with Git for version control, so you know exactly which code came from the tool?
Testers and Operations want to use real data during design and test to minimize surprises in production.
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What if ops could provide endpoints for data and change them as often as they needed to without triggering any code rewrites or regression testing?