A year ago, writing code was the expensive part.
Today, AI can generate hundreds of lines in seconds.
Tomorrow, that probably won’t be the challenge either.
After using AI daily, I think the next bottleneck looks different.
It’s continuity.
Every AI session starts almost from zero.
The model understands the repository.
It understands your prompt.
But it doesn’t understand your project’s journey.
It doesn’t know which architectures were intentionally rejected.
It doesn’t remember why a design changed three weeks ago.
It can’t distinguish temporary experiments from long-term decisions.
As projects become larger, these questions matter more than code generation itself.
This is why I’ve been exploring the idea of a Project Intelligence Layer with Contorium.
Instead of focusing on generating more code, it focuses on preserving the knowledge that software projects accumulate over time.
Because in long-term development, writing code is only half the job.
Understanding the project is the other half.
https://www.contorium.dev/
https://github.com/ContoriumLabs/contorium
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