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Step-by-step starter for ApowerB (Apache-2.0): clone the repo, run a single agent that classifies input and calls webhooks, plus a checklist, troubleshooting tips, and production notes.
Tarit pairs a rust-vmm hypervisor and lightweight orchestrator to run self-hosted AI-agent sandboxes. Repo claims warm-pool acquire p99 ≈35ms and snapshot resume ≈80ms. See QUICKSTART.
Rafael Lopes argues scaling agents breaks on engineering, not LLM limits: build deterministic guardrails, connectors for unstructured enterprise data, and resilient orchestration.
A hands-on checklist to make AI agents auditable and controllable: short-lived per-instance credentials, chain-of-custody logs, and an external policy gate for tool calls.
Practical AWS blueprint for foundation-model training and inference: combine accelerator-backed compute, high-bandwidth network, durable object storage, Slurm/EKS orchestration, and metrics.