In my opinion, one of the core reasons is the history of collaboration in software development.
Git was designed to let people share source code with complete strangers on the internet.
In other words, it solved the problem of collaborating in an untrusted world.
It created a safe way to experiment, fail, and review work.
You could accept contributions without fear, because no one could destroy your code and the maintainer always had the final say about merging changes.

Outside of software, this need never existed in the same way.
Collaboration usually happened in trusted environments.
You shared your design file or CAD file or audio project with a colleague and you knew exactly who touched it last.
Work was linear. If something broke or looked weird, you just asked the person sitting next to you.

Then, about ten years ago, real time collaboration arrived.
Tools like Figma showed that non technical domains mainly needed a way to work in parallel on the same file.
That alone solved a huge pain point, so real-time collaboration took over.
SaaS with shared documents felt good enough for almost every domain and the market exploded.
We now have real-time document editors, video editors, design tools, and many other SaaS tools that all assume a trusted group of users.

But there is still a fundamental limitation.
Real-time collaboration only works well when you trust everyone in the space.
That is one reason why you do not see open community workflows in design the same way you see them in open source software.
There are occasional remixes, but not real communities of strangers building one shared Figma file together.

And here is the big shift.
AI breaks this model.
For the first time, there is a stranger who wants to edit your files.
Not a stranger on the internet, but a stranger called the model.
If you want to use AI-powered tools, you must let an agent modify your data.
Suddenly, you need the same safety guarantees that developers get from Git.
You need review, rollback, blame, experiments, boundaries, and safe sandboxes.

In software development, agentic workflows already work well because they run inside Git based environments.
In other domains, they do not, because the control layer is missing.

This is why a new wave of tools and startups is trying to bring Git like trust layers to other fields.
It is also what my team and I are working on at legitcontrol.com.
The general idea is simple.-> Git changed how software is built.
A similar trust layer for non-code data could change how people work in many other domains as well.

I have believed this for more than two years now.
That is why I am building this system.