c_chenfeng

One thing that often gets overlooked is the operational cost.

In practice, small models tend to win not because they are better, but because they are predictable and cheap enough to run continuously.

For vulnerability scanning, coverage often matters more than depth.

This is something the C/C++ ecosystem has been missing for a long time.

How do you handle dependency resolution compared to existing tools like CMake or Meson?

This looks promising, especially the idea of using reactive notebooks as environments for agents.

How do you manage state consistency when multiple agents are interacting with the same notebook?

This is a really interesting direction.

Using JavaScript for parametric CAD feels like it could significantly lower the barrier compared to traditional CAD tools.

Curious — how do you handle performance for more complex models? Especially when the dependency graph grows large.