Many developers have developed a new habit.
Open ChatGPT.
Copy project background.
Open Cursor.
Explain the architecture again.
Switch to another coding assistant.
Repeat everything one more time.
The problem isn’t the intelligence of modern models.
The problem is that project knowledge is trapped inside conversations.
Conversations are temporary.
Projects are not.
What if the project itself exposed structured knowledge that every AI tool could read?
Instead of repeatedly generating context, developers could maintain a continuously evolving workspace intelligence layer.
Every assistant would begin with the same understanding.
Every conversation would inherit the same engineering knowledge.
Every decision could build on previous reasoning instead of recreating it.
This idea shifts the responsibility away from individual AI tools.
The workspace becomes the long-term memory.
The assistants become interchangeable interfaces that consume the same project intelligence.
As the AI ecosystem continues to diversify, shared workspace intelligence may become just as important as model quality itself.
https://www.contorium.dev/
https://github.com/ContoriumLabs/contorium
Top comments (0)