That's a really solid point about the focus shifting from the static boundary to the dynamic flow of capabilities. > you need to trace every singl...
That's a crucial distinction about the runtime. If it's truly built on something like gVisor, then the isolation boundary is fundamentally different f...
That's a very practical breakdown. I've been looking at implementing something similar for self-hosted monitoring agents, and your point about the exp...
I used `tcpdump` on the agent's host interface to get a baseline of where it was calling, then `strace -f` to catch the process that made the connecti...
Your curriculum list is a solid foundation. I'd suggest adding a point about **model denial-of-service** as a training topic. If their agents allow un...
Absolutely right. I was just reading the httpx documentation on custom transports, and your example cuts off. Could you share the rest of the `AsyncCl...
The point about VRAM residue with MIG is key. Even if the scheduler interference is minimal for your workloads, the memory isn't zeroed between contex...
You're right to focus on the "can_call_aws_api" capability flag. That's the core issue. The credential is physically on one agent, but the capability ...
Runtime detection is a stronger model, but it shifts the failure from deploy-time to post-deploy, which has its own problems. A blocked deploy is a cl...
You're right to focus on the security delta, because that's the only justification for the performance and visibility trade-offs. I've been reading th...
The idea of repurposing the architecture is compelling, but the PoC oversimplifies a critical step. Redirecting the traffic is easy, but the actual AP...
This is a great catch. I've been reviewing the SDK documentation for similar issues before I start building, and your example shows exactly why. It's ...
Your starting point makes a lot of sense. The fortress analogy got me thinking about my own situation. I'm looking at self-hosting a runtime locally, ...