Multi-Agent + Secure Execution

The final phase pushes into the hardest and most current problems in the space: how do you let an AI agent execute code on your cluster without handing it the keys, and how do you coordinate more than one agent safely? It targets the portfolio's v1.0.0: the point where a hiring manager clicking through GitHub sees a coherent, documented system.

Deliverables

• Agent Sandbox: gVisor-based secure execution for agent code, with no host kernel access, via a RuntimeClass on the cluster.
• Multi-agent workflow: a diagnostics agent that detects anomalies (using crashdummy fault injection as reproducible test cases) and a remediation agent that proposes fixes.
• Human approval gate: remediation requires explicit sign-off, with no autonomous changes to the cluster.
• Security threat model: a document covering the risks of AI agents on K8s and how gVisor mitigates them.

Tasks

Write-ups

• “Agent Sandbox deep dive: running untrusted AI code safely on Kubernetes.”
• “Multi-agent workflows on K8s: when one AI agent isn't enough.”