Every decade, software development gains a foundational abstraction.
Version control changed teamwork.
Containers changed deployment.
Cloud changed infrastructure.
Now MCP is changing how AI tools integrate with development workflows.
But another problem is quietly emerging.
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AI tools are excellent at producing code.
Repositories are excellent at storing code.
Neither is particularly good at preserving engineering knowledge.
That’s becoming expensive.
Because projects don’t fail from missing source code.
They fail from missing understanding.
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What if “Project Intelligence” became a first-class citizen?
Imagine a repository that continuously maintains:
- architectural decisions
- feature evolution
- dependency reasoning
- implementation history
- future priorities
- engineering confidence
Not as documentation.
As structured project knowledge.
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Maybe this becomes a new infrastructure layer.
One that sits beside Git instead of replacing it.
Git answers:
What changed?
A project intelligence layer answers:
Why did it change?
Those two questions together describe software far better than source code alone.
https://www.contorium.dev/
https://github.com/ContoriumLabs/contorium
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